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SPIRES-BOOKS: FIND KEYWORD NEURAL NETWORKS COMPUTER SCIENCE *END*INIT* use /tmp/qspiwww.webspi1/9216.28 QRY 131.225.70.96 . find keyword "neural networks computer science" ( in books using www Cover
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Call number:9783319517063:ONLINE Show nearby items on shelf
Title:Physics of the Human Mind
Author(s): Ihor Lubashevsky
Date:2017
Size:1 online resource (XIV, 380 p. 83 illus., 41 illus. in color p.)
Contents:Modeling of Human Behavior as Individual Branch of Physics and Mathematics -- Why Laws of Classical Physics Have Their Form -- Fodor-Kim Dilemma -- Strong Emergence via Constitutive Fields -- Non-Cartesian Dualism and Meso-Relational
Media -- Modeling of Human Behavior Within the Paradigm of Modern Physics -- Emergent Phenomena Caused by Bounded Capacity of Human Cognition -- Epilog: Physics and Human Mind -- References -- Index
ISBN:9783319517063
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Philosophy of mind , Neural networks (Computer science) , Cognitive psychology , Physics , Data-driven Science, Modeling and Theory Building , Mathematical Models of Cognitive Processes and Neural Networks , Cognitive Psychology , Philosophy of Mind , Mathematical Methods in Physics
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Call number:9781316576533:ONLINE Show nearby items on shelf
Title:Computer age statistical inference : algorithms, evidence, and data science [electronic resource]
Author(s): Bradley Efron
Trevor Hastie
Publisher:Cambridge University Press
Size:1 electronic resource (475 pages)
Contents:Algorithms and inference -- Frequentist inference -- Bayesian inference -- Fisherian inference and maximum likelihood estimation -- Parametric models and exponential families -- Empirical Bayes -- Jame-Stein estimation and ridge regression -- Genera lized linear models and regression trees -- Survival analysis and the EM algorithm -- The jackknife and the bootstrap -- Bootstrap confidence intervals -- Cross-validation and Cp estimates of prediction error -- Postwar statistical inference and methodolo gy -- Large-scale hypothesis testing and FDRs -- Sparse modeling and the lasso -- Random forests and boosting -- Neural networks and deep learning -- Support-vector machines and kernel methods -- Inference after model selection -- Empirical Bayes estimati on strategies.
ISBN:9781316576533
Series:Institute of mathematical statistics monographs
Keywords: Mathematical statistics
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Location: NEW DATE = 2016

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Call number:SPRINGER-2016-9783319411927:ONLINE Show nearby items on shelf
Title:Search and Optimization by Metaheuristics Techniques and Algorithms Inspired by Nature
Author(s): Ke-Lin Du
Date:2016
Size:1 online resource (40 p.)
Note:10.1007/978-3-319-41192-7
Contents:Preface -- Introduction -- Simulated Annealing -- Optimization by Recurrent Neural Networks -- Genetic Algorithms and Genetic Programming -- Evolutionary Strategies -- Differential Evolution -- Estimation of Distribution Algorithms -- Mimetic Algor ithms -- Topics in EAs -- Particle Swarm Optimization -- Artificial Immune Systems -- Ant Colony Optimization -- Tabu Search and Scatter Search -- Bee Metaheuristics -- Harmony Search -- Biomolecular Computing -- Quantum Computing -- Other Heuristics-Insp ired Optimization Methods -- Dynamic, Multimodal, and Constraint-Satisfaction Optimizations -- Multiobjective Optimization -- Appendix 1: Discrete Benchmark Functions -- Appendix 2: Test Functions -- Index
ISBN:9783319411927
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Algorithms , Computer mathematics , Mathematical optimization , Computational intelligence , Mathematics , Computational Science and Engineering , Algorithms , Optimization , Simulation and Modeling , Computational Intelligence
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Call number:SPRINGER-2016-9783319395524:ONLINE Show nearby items on shelf
Title:Form Versus Function: Theory and Models for Neuronal Substrates
Author(s): Mihai Alexandru Petrovici
Date:2016
Size:1 online resource (101 p.)
Note:10.1007/978-3-319-39552-4
Contents:Prologue -- Introduction: From Biological Experiments to Mathematical Models -- Artificial Brains: Simulation and Emulation of Neural Networks -- Dynamics and Statistics of Poisson-Driven LIF Neurons -- Cortical Models on Neuromorphic
Hardware -- Probabilistic Inference in Neural Networks -- Epilogue
ISBN:9783319395524
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Computer simulation , Neurobiology , Neural networks (Computer science) , Physics , Numerical and Computational Physics , Mathematical Models of Cognitive Processes and Neural Networks , Neurobiology , Neurosciences , Simulation and Modeling
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Call number:SPRINGER-2016-9783319322858:ONLINE Show nearby items on shelf
Title:Computational Modeling of Neural Activities for Statistical Inference
Author(s): Antonio Kolossa
Date:2016
Size:1 online resource (20 p.)
Note:10.1007/978-3-319-32285-8
Contents:Basic Principles of ERP Research, Surprise, and Probability Estimation -- Introduction to Model Estimation and Selection Methods -- A New Theory of Trial-by-Trial P300 Amplitude Fluctuations -- Bayesian Inference and the Urn-Ball Task -- Summary an d Outlook
ISBN:9783319322858
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Neurosciences , Computer simulation , Neural networks (Computer science) , Biomathematics , Biomedical engineering , Mathematics , Mathematical Models of Cognitive Processes and Neural Networks , Biomedical Engineering , Neurosciences , Physiological, Cellular and Medical Topics , Simulation and Modeling
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Call number:SPRINGER-2016-9783319275178:ONLINE Show nearby items on shelf
Title:Simulation-Driven Modeling and Optimization ASDOM, Reykjavik, August 2014
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (51 p.)
Note:10.1007/978-3-319-27517-8
Contents:Numerical Aspects of Model Order Reduction for Gas Transportation Networks (Grundel, S., Hornung, N. & Roggendorf, S.) -- Parameter Studies for Energy Networks with Examples from Gas Transport (Clees, T.) -- Fast Multi-Objective Aerodynamic Optimiza tion Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation (Leifsson, L. et al.) -- Assessment of Inverse and Direct Methods for Airfoil and Wing Design (Zhang, M. & Rizzi, A.W.) -- Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications (Orlandi, A. et al.) -- Unattended Design of Wide-Band Planar Filters using a Two-Step Aggressive Space Mapping (ASM) Optimization Algorithm (Boria, V. et al.) -- Two-Stage Gaussian Process Modeling of Microwave Structures for Design Optimization (Jacobs, J.P. & Koziel, S.) -- Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Neural Networks (Simsek, M. & Aoad, A.) -- Expedited Simulation-Driven
Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonator Antenna (Bekasiewicz, A. et al.) -- Optimal Design of Photonic Crystal Nanostructures (Hassan, A.-K., Rafat, N. & Mohamed, A.S.A.) -- Design Optimization of LNAs and Reflect array Antennas using the Full-Wave Simulation based Artificial Intelligence Models with the Novel Metaheuristic Algorithms (Güneş, F., Demirel, S. & Nesil, S.) -- Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation -Optimization Approach for Generating Alternatives (Yeomans, J.S., Imanirad, R. & Yang, X.-S.) -- Linear and Nonlinear System Identification using Evolutionary Optimisation (Worden, K. et al.) -- A Surrogate-Model-Assisted Evolutionary Algorithm for Compu tationally Expensive Design Optimization Problems with Inequality Constraints (Liu, B., Zhang, Q. & Gielen, G.) -- Sobol Indices for Dimension Adaptivity in Sparse Grids (Dwight, R.P., Desmedt, S.G.L., & Omrani, P.S.).
ISBN:9783319275178
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 153
Keywords: Mathematics , Computer mathematics , Mathematical models , Calculus of variations , Mathematics , Calculus of Variations and Optimal Control Optimization , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering
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Call number:SPRINGER-2016-9783319251158:ONLINE Show nearby items on shelf
Title:Controlling Synchronization Patterns in Complex Networks
Author(s): Judith Lehnert
Date:2016
Edition:1st ed. 2016
Size:1 online resource (50 p.)
Note:10.1007/978-3-319-25115-8
Contents:Introduction -- Complex Dynamical Networks -- Synchronization In Complex Networks -- Control of Synchronization Transitions by Balancing Excitatory and Inhibitory Coupling -- Cluster and Group Synchrony: The Theory -- Zero-Lag and
Cluster Synchrony: Towards Applications -- Adaptive Control -- Adaptive Time-Delayed Feedback Control -- Adaptive Control of Cluster States in Network Motifs -- Adaptive Topologies -- Conclusion
ISBN:9783319251158
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Physical chemistry , System theory , Neural networks (Computer science) , Vibration , Dynamical systems , Dynamics , Physics , Complex Networks , Mathematical Models of Cognitive Processes and Neural Networks , Physical Chemistry , Vibration, Dynamical Systems, Control , Systems Theory, Control
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Call number:SPRINGER-2013-9781441902368:ONLINE Show nearby items on shelf
Title:Multidimensional Data Visualization [electronic resource] : Methods and Applications
Author(s): Gintautas Dzemyda
Olga Kurasova
Julius ilinskas
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks,combinations of algorith ms, parallel computing, different proximity measures, nonlinear manifold learning, and more. Many of the applications presented allow us to discover the obvious advantages of visual data miningit is mucheasier for a decision maker to detect or extract use ful information from graphical representation of data than from raw numbers. The fundamental idea of visualization is to provide data in some visual form that lets humans understandthem, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process it covers data visualizationand graphical presentation of information. Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve asa useful research supplement for PhD students in operations research, computer science, various fields of engineerin g, as well as natural and social sciences
Note:Springer eBooks
Contents:Preface
1.Multidimensional Data and the Concept of Visualization
2. Strategies for Multidimensional Data Visualization
3. Optimization
Based Visualization
4. Combining Multidimensional Scaling with Artificial Neural Networks
5. Applications of Visualizations
A. Test Data Sets
References
Index
ISBN:9781441902368
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v75
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Computer simulation , Visualization , Mathematical optimization
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Call number:SPRINGER-2012-9783642249747:ONLINE Show nearby items on shelf
Title:Optimization for Industrial Problems [electronic resource]
Author(s): Patrick Bangert
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields as a conversation between the theory of mathematics and computer science and casestudies demonstrating e ngineering and management. Most of all, the case studies illustrate what may reasonably be expected from an optimization project in a commercial enterprise. While many other books treat some of the aspects ofthis book, it is practical and may be used as a manual for conducting an optimization project. This book will not make its reader into a mathematician but it will help him to improve his plant. The book requires no mathematical ortechnical background beyond a good high school training all else is addr essed within. It is aimed at managers or engineers of industrial facilities and is also suitable for university students and their professors as an illustrationof how academic material may be used in real life. The book includes 19 case studies that were conducted in real plants. They include chemical plants, fossil power plants, wind power plants, nuclear power plants, oil refineries, oilproduction plants, injection molding fascilities and retail industry shops. All case studies were conducted by the aut hor in cooperation and co-authorship with some of the leading industrial enterprises including RWE, Vattenfall, EDF,PetroChina, Vestolit, Sasol, and Hella
Note:Springer eBooks
Contents:Overview of Heuristic Optimization
Statistical Analysis in Solution Space
Project Management
Pre
processing: Cleaning up Data
Data Mining: Knowledge from Data
Modeling: Neural Networks
Optimization: Simulated Annealing
The Human Aspect in Sustainable Change and Innovation
ISBN:9783642249747
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2011-9783642222535:ONLINE Show nearby items on shelf
Title:Mean Field Models for Spin Glasses [electronic resource] : Volume II: Advanced Replica-Symmetry and Low Temperature
Author(s): Michel Talagrand
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is a new, completely revised, updated and enlarged edition of the author's Ergebnisse vol. 46: Spin Glasses: A Challenge for Mathematicians in two volumes (this is the 2nd volume). In the eighties, a group of theoreticalphysicists introduced sev eral models for certain disordered systems, called spin glasses. These models are simple and rather canonical random structures, of considerable interest for several branches of science (statisticalphysics, neural networks and computer science). The physi cists studied them by non-rigorous methods and predicted spectacular behaviors. This book introduces in a rigorous manner this exciting new area to the mathematically mindedreader. It requires no knowledge whatsoever of any physics. The present Volume II contains a considerable amount of new material, in particular all the fundamental low-temperature results obtained after the publication of the firstedition
Note:Springer eBooks
ISBN:9783642222535
Series:e-books
Series:SpringerLink (Online service)
Series:Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics, 0071-1136 : v55
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical physics
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Call number:SPRINGER-2011-9783642152023:ONLINE Show nearby items on shelf
Title:Mean Field Models for Spin Glasses [electronic resource] : Volume I: Basic Examples
Author(s): Michel Talagrand
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is a new, completely revised, updated and enlarged edition of the author's Ergebnisse vol. 46: Spin Glasses: A Challenge for Mathematicians. This new edition will appear in two volumes, the present first volume presentsthe basic results and meth ods, the second volume is expected to appear in 2011. In the eighties, a group of theoretical physicists introduced several models for certain disordered systems, called spin glasses. These models aresimple and rather canonical random structures, of consi derable interest for several branches of science (statistical physics, neural networks and computer science). The physicists studied them by non-rigorous methods and predictedspectacular behaviors. This book introduces in a rigorous manner this exciting n ew area to the mathematically minded reader. It requires no knowledge whatsoever of any physics. The first volume of this new and completely rewrittenedition presents six fundamental models and the basic techniques to study them
Note:Springer eBooks
Contents:Introduction
1. The Sherrington
Kirkpatrick Model
2. The Perceptron Model
3. The Shcherbina and Tirozzi Model
4. The Hopfield Model
5. The V
statistics Model
6. The Diluted SK Model and the K
Sat Problem
7. An Assignment Problem
A. Appendix: Elements of Probability Theory
References
Index
Glossary
ISBN:9783642152023
Series:e-books
Series:SpringerLink (Online service)
Series:Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics : v54
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical physics
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Call number:SPRINGER-2009-9783211755402:ONLINE Show nearby items on shelf
Title:Algorithmic Composition [electronic resource] : Paradigms of Automated Music Generation
Author(s): Gerhard Nierhaus
Date:2009
Publisher:Vienna : Springer Vienna
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Algorithmic composition composing by means of formalizable methods has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of prominent procedures ofalgorithmic composition in a pragma tic way rather than by treating formalizable aspects in single works. In addition to an historic overview, each chapter presents a specific class of algorithm in a compositional context by providing ageneral introduction to its development and theoretical basis and describes different musical applications. Each chapter outlines the strengths, weaknesses and possible aesthetical implications resulting from the application of thetreated approaches. Topics covered are: markov models, generative grammars, tra nsition networks, chaos and self-similarity, genetic algorithms, cellular automata, neural networks and artificial intelligence are covered. Thecomprehensive bibliography makes this work ideal for the musician and the researcher alike
Note:Springer eBooks
Contents:Historical Development of Algorithmic Procedures
Markov Models
Generative Grammars
Transition Networks
Chaos and Self
Similarity
Genetic Algorithms
Cellular Automata
Artificial Neural Networks
Artificial Intelligence
Final Synopsis
ISBN:9783211755402
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Information systems , Computer science Mathematics , Algorithms , Logic, Symbolic and mathematical , Music
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Call number:SPRINGER-2009-9780817648046:ONLINE Show nearby items on shelf
Title:Data Modeling for Metrology and Testing in Measurement Science [electronic resource]
Author(s): Franco Pavese
Alistair B Forbes
Date:2009
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having abroad range of real- world applications in measurement science. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methodsand computational tools to address genera l models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science. Additionalfeatures and topics of the book include: * Introduction to model ing principles in metrology and testing * Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment * Discussion ofthe latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods * Data fusion using neural networks, fuzzy methods, decision making, and risk analysis * A computer-assisted,rigorous approach to data evaluation and analysis of measurement software validity * Introduction to virtual ins truments, and an overview of IT tools for measurement science Data Modeling for Metrology and Testing in MeasurementScience may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists,mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science
Note:Springer eBooks
Contents:Preface
List of Contributors
An Introduction to Data Modelling Principles in Metrology and Testing
Probability in Metrology
Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty
Interval Computations and Interval
Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements
Parameter Estimation Based on Least Squares Methods
Frequency and TimeFrequency Domain Analysis Tools in Measurement
Data Fusion, Decision
Making, and Risk Analysis: Mathematical Tools and Techniq
ISBN:9780817648046
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Distribution (Probability theory) , Mathematical statistics , Statistics , Industrial engineering
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Call number:SPRINGER-2008-9783540776574:ONLINE Show nearby items on shelf
Title:Organic Computing [electronic resource]
Author(s): Rolf P Wrtz
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociologycan be tackled scient ifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature forcreating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors includeevolution, neural networks, gene-regulatory networks, networks of bra in modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation,clustering, routing, face recognition, and sign language understanding
Note:Springer eBooks
Contents:Introduction: Organic Computing
The Organic Future of Information Technology
Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers
Controlled Emergence and Self
Organization
Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives
Evolutionary Design of Emergent Behavior
Genesis of Organic Computing Systems: Coupling Evolution and Learning
Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering
ISBN:9783540776574
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Differentiable dynamical systems , Engineering mathematics , Vibration
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Call number:SPRINGER-2008-9783540731597:ONLINE Show nearby items on shelf
Title:Lectures in Supercomputational Neurosciences [electronic resource] : Dynamics in Complex Brain Networks
Author(s): Peter beim Graben
Changsong Zhou
Marco Thiel
Jrgen Kurths
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g.from linguistics and medi cine, seem to be able to expand the limits of our knowledge. The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by systemneuroscientists. A conceptual model for complex networ ks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory couplingand the plasticity of the network. The computational implementation on superc omputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research.Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortic al connections of a cat's brain, supported with data from experimental studies. This book is particularly suited for graduatestudents and nonspecialists from related fields with a general science background, looking for a substantial but hands-on introduc tion to the subject matter
Note:Springer eBooks
Contents:Neurophysiology
Foundations of Neurophysics
Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals
Complex Networks
Structural Characterization of Networks Using the Cat Cortex as an Example
Organization and Function of Complex Cortical Networks
Synchronization Dynamics in Complex Networks
Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots
Cognition and Higher Perception
Neural and Cognitive Modeling with Networks of Leaky Integrator Units
A Dynamic Model of the Macrocolumn
Implementations
Building a
ISBN:9783540731597
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Biomedical engineering , Engineering
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Call number:SPRINGER-2008-9781402066689:ONLINE Show nearby items on shelf
Title:Foundations of Generic Optimization [electronic resource] : Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks
Author(s): Robert Lowen
Alain Verschoren
Date:2008
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offersresearchers not only a solid background but also a snapshot of the current state of the art in this field
Note:Springer eBooks
ISBN:9781402066689
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematical Modelling: Theory and Applications, 1386-2960 : v24
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computational complexity , Genetics Mathematics , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2008-9780817646264:ONLINE Show nearby items on shelf
Title:Advances in Mathematical and Statistical Modeling [electronic resource]
Author(s): Roberto Minguez
Jose-Maria Sarabia
N Balakrishnan
Barry C Arnold
Date:2008
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory,Bayesian networks, neur al networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized tohonor Castillo's significant contributions, thi s volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety,reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications *Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Th eory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensivereference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics commun ities. Practitioners, researchers, and graduate students in mathematical and statistical modeling,optimization, and computing will benefit from this work
Note:Springer eBooks
Contents:Distribution Theory and Applications
Enrique Castillos Contributions to Conditional Specification
The Polygonal Distribution
Conditionally Specified Models: New Developments and Applications
Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data
Distance Based Association and Multi
Sample Tests for General Multivariate Data
Probability and Statistics
Empirical Bayes Assessment of the Hyperparameters in Bayesian
Order Statistics and Analysis
Negative Mixtures Order Statistics and Systems
Models of Ordered Data and Products of Beta Random Vari
ISBN:9780817646264
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical optimization , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2008-9780387781891:ONLINE Show nearby items on shelf
Title:Modern Multivariate Statistical Techniques [electronic resource] : Regression, Classification, and Manifold Learning
Author(s): Alan J Izenman
Date:2008
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the HumanGenome Project has op ened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The authortakes a broad perspective for the first time i n a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multipleregression, principal components, canonical variates, linear discrimina nt analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit,neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, bo osting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another uniquefeature of this book is the discussion of database management systems. This book is appropriate for advanced undergradu ate students, graduate students, and researchers in statistics, computer science, artificial intelligence,psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and pro bability and statistics is required. The book presents a carefully-integrated mixtureof theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as e xamples in the book, over 200 exercises, and many colorillustrations and photographs. Alan J. Izenman is Professor of Statistics and Director of the Center for Statistical and Information Science at Te
Note:Springer eBooks
Contents:and Preview
Data and Databases
Random Vectors and Matrices
Nonparametric Density Estimation
Model Assessment and Selection in Multiple Regression
Multivariate Regression
Linear Dimensionality Reduction
Linear Discriminant Analysis
Recursive Partitioning and Tree
Based Methods
Artificial Neural Networks
Support Vector Machines
Cluster Analysis
Multidimensional Scaling and Distance Geometry
Committee Machines
Latent Variable Models for Blind Source Separation
Nonlinear Dimensionality Reduction and Manifold Learning
Correspondence Analysis
ISBN:9780387781891
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Optical pattern recognition , Bioinformatics , Mathematical statistics
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Call number:SPRINGER-2007-9780387374529:ONLINE Show nearby items on shelf
Title:Computational Intelligence [electronic resource] : for Engineering and Manufacturing
Author(s): Diego Andina
Duc Truong Pham
Date:2007
Publisher:Boston, MA : Springer US
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elementsof CI, centred on its key element: learning. All the contributors of this volume have direct bearing with this issue. From fundamentals to advanced systems as Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Radial BasisFunction Networks (RBF) and its relations with Fuzzy Sets and Support Vector Machines theory and on to several critical applications in Engineering and Manufacturing. These are among applications where CI have excellent potential.This volume has specially taken Neural Networks, key elements of CI, to the next level. Both novice and expert readers can benefit from this timely addition to CI based literature. Towards that goal, the editors and the authors havemade critical contributions and succeeded. They have paved the road for learning paradigms tow ards the solution of many real-world problems
Note:Springer eBooks
ISBN:9780387374529
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Optical pattern recognition , Computer science , Electronics , Systems engineering
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Call number:SPRINGER-2006-9780387309279:ONLINE Show nearby items on shelf
Title:Global Optimization [electronic resource] : Scientific and Engineering Case Studies
Author(s): Jnos D Pintr
Date:2006
Publisher:Boston, MA : Springer US
Size:1 online resource
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Note:Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization:Selected Case Studies ill ustrates the applicability of GO modeling techniques and solution strategies to real-world problems. The contributed chapters cover a broad range of applications from agroecosystem management, assembly linedesign, bioinformatics, biophysics, black box sys tems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecularstructures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineeringdesign, numerical solution of equations, radiotherapy planning, robot design, and satellite data anal ysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous andheuristic approaches. Audience This book is intended for researchers and practitioners in academia, research and consulting o rganizations, and industry
Note:Springer eBooks
Contents:From the contents Preface (J. D. Pintr)
1. Global Optimization in Solvent Design (L. E. K. Achenie, G. M. Ostrovsky, M. Sinha)
2. Feeding Strategies for Maximising Gross Margin in Pig Production (D. L. J. Alexander, P .C .H. Morel, G. R. Wood)
3. Optimized Design of Dynamic Networks with Heuristic Algorithms (S. Allen, S. Hurley, V. Samko, R. Whitaker)
4. A New Smoothing
based Global Optimization Algorithm for Protein Conformation Problems (A. M. Azmi, R. H. Byrd, E. Eskow, R. B. Schnabel)
5. Physical Perspectives on the Global Optimization of Atomic Clusters (J. P. K. Doye)
ISBN:9780387309279
Series:e-books
Series:SpringerLink (Online service)
Series:Nonconvex Optimization and Its Applications, 1571-568X : v85
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Mathematical optimization , Engineering mathematics
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Call number:SPRINGER-2004-9783642171031:ONLINE Show nearby items on shelf
Title:Classification, Clustering, and Data Mining Applications Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004
Author(s):
Date:2004
Size:1 online resource (658 p.)
Note:10.1007/978-3-642-17103-1
Contents:I New Methods in Cluster Analysis -- Thinking Ultrametrically -- Clustering by Vertex Density in a Graph -- Clustering by Ant Colony Optimization -- A Dynamic Cluster Algorithm Based on Lr Distances for Quantitative Data -- The Last
Step of a New Divisive Monothetic Clustering Method: the Gluing-Back Criterion -- Standardizing Variables in K-means Clustering -- A Self-Organizing Map for Dissimilarity Data -- Another Version of the Block EM Algorithm -- Controlling
the Level of Separation of Components in Monte Carlo Studies of Latent Class Models -- Fixing Parameters in the Constrained Hierarchical Classification Method: Application to Digital Image Segmentation -- New Approaches for
Sum-of-Diameters Clustering -- Spatial Pyramidal Clustering Based on a Tessellation -- II Modern Nonparametrics -- Relative Projection Pursuit and its Application -- Priors for Neural Networks -- Combining Models in Discrete
Discriminant Analysis Through a Committee of Methods -- Phoneme Discrimination with Functional Multi-Layer Perceptrons -- PLS Approach for Clusterwise Linear Regression on Functional Data -- On Classification and Regression Trees for
Multiple Responses -- Subsetting Kernel Regression Models Using Genetic Algorithm and the Information Measure of Complexity -- Cherry-Picking as a Robustness Tool -- III Classification and Dimension Reduction -- Academic Obsessions and
Classification Realities: Ignoring Practicalities in Supervised Classification -- Modified Biplots for Enhancing Two-Class Discriminant Analysis -- Weighted Likelihood Estimation of Person Locations in an Unfolding Model for Polytomous
Responses -- Classification of Geospatial Lattice Data and their Graphical Representation -- Degenerate Expectation-Maximization Algorithm for Local Dimension Reduction -- A Dimension Reduction Technique for Local Linear Regression --
Reducing the Number of Variables Using Implicative Analysis -- Optimal Discretization of Quantitative Attributes for Association Rules -- IV Symbolic Data Analysis -- Clustering Methods in Symbolic Data Analysis -- Dependencies in
Bivariate Interval-Valued Symbolic Data -- Clustering of Symbolic Objects Described by Multi-Valued and Modal Variables -- A Hausdorff Distance Between Hyper-Rectangles for Clustering Interval Data -- Kolmogorov-Smirnov for Decision
Trees on Interval and Histogram Variables -- Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distances -- A Symbolic Model-Based Approach for Making Collaborative Group Recommendations -- Probabilistic Allocation of
Aggregated Statistical Units in Classification Trees for Symbolic Class Description -- Building Small Scale Models of Multi-Entity Databases by Clustering -- V Taxonomy and Medicine -- Phylogenetic Closure Operations and Homoplasy-Free
Evolution -- Consensus of Classification Systems, with Adams’ Results Revisited -- Symbolic Linear Regression with Taxonomies -- Determining Horizontal Gene Transfers in Species Classification: Unique Scenario -- Active and Passive
Learning to Explore a Complex Metabolism Data Set -- Mathematical and Statistical Modeling of Acute Inflammation -- Combining Functional MRI Data on Multiple Subjects -- Classifying the State of Parkinsonism by Using Electronic Force
Platform Measures of Balance -- Subject Filtering for Passive Biometric Monitoring -- VI Text Mining -- Mining Massive Text Data and Developing Tracking Statistics -- Contributions of Textual Data Analysis to Text Retrieval --
Automated Resolution of Noisy Bibliographic References -- Choosing the Right Bigrams for Information Retrieval -- A Mixture Clustering Model for Pseudo Feedback in Information Retrieval -- Analysis of Cross-Language Open-Ended
Questions Through MFACT -- Inferring User’s Information Context from User Profiles and Concept Hierarchies -- Database Selection for Longer Queries -- VII Contingency Tables and Missing Data -- An Overview of Collapsibility --
Generalized Factor Analyses for Contingency Tables -- A PLS Approach to Multiple Table Analysis -- Simultaneous Rowand Column Partitioning in Several Contingency Tables -- Missing Data and Imputation Methods in Partition of Variables
-- The Treatment of Missing Values and its Effect on Classifier Accuracy -- Clustering with Missing Values: No Imputation Required
ISBN:9783642171031
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Culture , Library science , Data structures (Computer science) , Mathematical statistics , Computers , Statistics , Cultural and Media Studies , Library Science , Statistical Theory and Methods , Probability and Statistics in Computer Science , Information Systems and Communication Service , Data Structures , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-2003-9783642557606:ONLINE Show nearby items on shelf
Title:Image Analysis, Random Fields and Markov Chain Monte Carlo Methods A Mathematical Introduction
Author(s): Gerhard Winkler
Date:2003
Edition:Second Edition
Size:1 online resource (387 p.)
Note:10.1007/978-3-642-55760-6
Contents:I. Bayesian Image Analysis: Introduction -- 1. The Bayesian Paradigm -- 2. Cleaning Dirty Pictures -- 3. Finite Random Fields -- II. The Gibbs Sampler and Simulated Annealing -- 4. Markov Chains: Limit Theorems -- 5. Gibbsian Sampling
and Annealing -- 6. Cooling Schedules -- III. Variations of the Gibbs Sampler -- 7. Gibbsian Sampling and Annealing Revisited -- 8. Partially Parallel Algorithms -- 9. Synchronous Algorithms -- IV. Metropolis Algorithms and Spectral
Methods -- 10. Metropolis Algorithms -- 11. The Spectral Gap and Convergence of Markov Chains -- 12. Eigenvalues, Sampling, Variance Reduction -- 13. Continuous Time Processes -- V. Texture Analysis -- 14. Partitioning -- 15. Random
Fields and Texture Models -- 16. Bayesian Texture Classification -- VI. Parameter Estimation -- 17. Maximum Likelihood Estimation -- 18. Consistency of Spatial ML Estimators -- 19. Computation of Full ML Estimators -- VII. Supplement
-- 20. A Glance at Neural Networks -- 21. Three Applications -- VIII. Appendix -- A. Simulation of Random Variables -- A.1 Pseudorandom Numbers -- A.2 Discrete Random Variables -- A.3 Special Distributions -- B. Analytical Tools -- B.1
Concave Functions -- B.2 Convergence of Descent Algorithms -- B.3 A Discrete Gronwall Lemma -- B.4 A Gradient System -- C. Physical Imaging Systems -- D. The Software Package AntslnFields -- References -- Symbols
ISBN:9783642557606
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applications of Mathematics, Stochastic Modelling and Applied Probability: 27
Keywords: Mathematics , Radiology , Computer simulation , Image processing , Numerical analysis , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Image Processing and Computer Vision , Numerical Analysis , Simulation and Modeling , Imaging / Radiology , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2002-9783662048047:ONLINE Show nearby items on shelf
Title:Computational Statistical Physics From Billiards to Monte Carlo
Author(s): Karl Heinz Hoffmann
Date:2002
Size:1 online resource (300 p.)
Note:10.1007/978-3-662-04804-7
Contents:1 Game Theory and Statistical Mechanics -- 2 Chaotic Billiards -- 3 Combinatorial Optimization and High Dimensional Billiards -- 4 The Statistical Physics of Energy Landscapes: From Spin Glasses to Optimization -- 5 Optimization of
Production Lines by Methods from Statistical Physics -- 6 Predicting and Generating Time Series by Neural Networks: An Investigation Using Statistical Physics -- 7 Statistical Physics of Cellular Automata Models for Traffic Flow -- 8
Self-Organized Criticality in Forest-Fire Models -- 9 Nonlinear Dynamics of Active Brownian Particles -- 10 Financial Time Series and Statistical Mechanics -- 11 ‘Go with the Winners’ Simulations -- 12 Aperiodicity and Disorder — Do
They Play a Role? -- 13 Quantum Phase Transitions -- 14 Introduction to Energy Level Statistics -- 15 Randomness in Optical Spectra of Semiconductor Nanostructures -- 16 Characterization of the Metal—Insulator Transition in the
Anderson Model of Localization -- 17 Percolation, Renormalization and Quantum Hall Transition
ISBN:9783662048047
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Statistical physics , Dynamical systems , Statistics , Physics , Statistical Physics, Dynamical Systems and Complexity , Numerical and Computational Physics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2002-9783642561818:ONLINE Show nearby items on shelf
Title:Classification, Clustering, and Data Analysis Recent Advances and Applications
Author(s):
Date:2002
Size:1 online resource (508 p.)
Note:10.1007/978-3-642-56181-8
Contents:I. Clustering and Discrimination -- Clustering -- Some Thoughts about Classification -- Partial Defuzzification of Fuzzy Clusters -- A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene
Expression Data -- Two-mode Partitioning: Review of Methods and Application of Tabu Search -- Dynamical Clustering of Interval Data Optimization of an Adequacy Criterion Based on Hausdorff Distance -- Removing Separation Conditions in
a 1 against 3-Components Gaussian Mixture Problem -- Obtaining Partitions of a Set of Hard or Fuzzy Partitions -- Clustering for Prototype Selection using Singular Value Decomposition -- Clustering in High-dimensional Data Spaces --
Quantization of Models: Local Approach and Asymptotically Optimal Partitions -- The Performance of an Autonomous Clustering Technique -- Cluster Analysis with Restricted Random Walks -- Missing Data in Hierarchical Classification of
Variables — a Simulation Study -- Cluster Validation -- Representation and Evaluation of Partitions -- Assessing the Number of Clusters of the Latent Class Model. -- Validation of Very Large Data Sets Clustering by Means of a
Nonparametric Linear Criterion -- Discrimination -- Effect of Feature Selection on Bagging Classifiers Based on Kernel Density Estimators -- Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves --
Bagging Combined Classifiers -- Application of Bayesian Decision Theory to Constrained Classification Networks -- II. Multivariate Data Analysis and Statistics -- Multivariate Data Analysis -- Quotient Dissimilarities, Euclidean
Embeddability, and Huygens’ Weak Principle -- Conjoint Analysis and Stimulus Presentation — a Comparison of Alternative Methods -- Grade Correspondence-cluster Analysis Applied to Separate Components of Reversely Regular Mixtures --
Obtaining Reducts with a Genetic Algorithm -- A Projection Algorithm for Regression with Collinearity -- Confronting Data Analysis with Constructivist Philosophy -- Statistical Methods -- Maximum Likelihood Clustering with Outliers --
An Improved Method for Estimating the Modes of the Probability Density Function and the Number of Classes for PDF-based Clustering -- Maximization of Measure of Allowable Sample Sizes Region in Stratified Sampling -- On Estimation of
Population Averages on the Basis of Cluster Sample -- Symbolic Data Analysis -- Symbolic Regression Analysis -- Modelling Memory Requirement with Normal Symbolic Form -- Mixture Decomposition of Distributions by Copulas --
Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables -- Symbolic Data Analysis Approach to Clustering Large Datasets -- Symbolic Class Descriptions -- Consensus Trees and Phylogenetics -- A
Comparison of Alternative Methods for Detecting Reticulation Events in Phylogenetic Analysis -- Hierarchical Clustering of Multiple Decision Trees -- Multiple Consensus Trees -- A Family of Average Consensus Methods for Weighted Trees
-- Comparison of Four methods for Inferring Additive Trees from Incomplete Dissimilarity Matrices -- Quartet Trees as a Tool to Reconstruct Large Trees from Sequences -- Regression Trees -- Regression Trees for Longitudinal Data with
Time-dependent Covariates -- Tree-based Models in Statistics: Three Decades of Research -- Computationally Efficient Linear Regression Trees -- Neural Networks and Genetic Algorithms -- A Clustering Based Procedure for Learning the
Hidden Unit Parameters in Elliptical Basis Function Networks -- Multi-layer Perceptron on Interval Data -- III. Applications -- Textual Analysis of Customer Statements for Quality Control and Help Desk Support -- AHP as Support for
Strategy Decision Making in Banking -- Bioinformatics and Classification: The Analysis of Genome Expression Data -- Glaucoma Diagnosis by Indirect Classifiers -- A Cluster Analysis of the Importance of Country and Sector on Company
Returns -- Problems of Classification in Investigative Psychology -- List of Reviewers
ISBN:9783642561818
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Mathematical statistics , Database management , Applied mathematics , Engineering mathematics , Probabilities , Statistics , Computer Science , Database Management , Probability Theory and Stochastic Processes , Applications of Mathematics , Statistical Theory and Methods , Probability and Statistics in Computer Science , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9781475753622:ONLINE Show nearby items on shelf
Title:Handbook of Global Optimization Volume 2
Author(s):
Date:2002
Size:1 online resource (572 p.)
Note:10.1007/978-1-4757-5362-2
Contents:1 Tight relaxations for nonconvex optimization problems using the Reformulation-Linearization/Convexification Technique (RLT) -- 2 Exact algorithms for global optimization of mixed-integer nonlinear programs -- 3 Algorithms for global
optimization and discrete problems based on methods for local optimization -- 4 An introduction to dynamical search -- 5 Two-phase methods for global optimization -- 6 Simulated annealing algorithms for continuous global optimization
-- 7 Stochastic Adaptive Search -- 8 Implementation of Stochastic Adaptive Search with Hit-and-Run as a generator -- 9 Genetic algorithms -- 10 Dataflow learning in coupled lattices: an application to artificial neural networks -- 11
Taboo Search: an approach to the multiple-minima problem for continuous functions -- 12 Recent advances in the direct methods of X-ray crystallography -- 13 Deformation methods of global optimization in chemistry and physics -- 14
Experimental analysis of algorithms -- 15 Global optimization: software, test problems, and applications
ISBN:9781475753622
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Nonconvex Optimization and Its Applications: 62
Keywords: Mathematics , Data structures (Computer science) , Computer mathematics , Algorithms , Mathematical optimization , Operations research , Management science , Mathematics , Computational Mathematics and Numerical Analysis , Operations Research, Management Science , Data Structures , Optimization , Algorithms
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Call number:SPRINGER-2002-9781461302315:ONLINE Show nearby items on shelf
Title:Pattern Recognition and String Matching
Author(s):
Date:2002
Size:1 online resource (772 p.)
Note:10.1007/978-1-4613-0231-5
Contents:Correcting the Training Data -- Context Free Grammars and Semantic Networks for Flexible Assembly Recognition -- Stochastic Recognition of Occluded Objects -- Approximate String Matching for Angular String Elements with Applications
to On-line and Off-line Handwriting Recognition -- Uniform, Fast Convergence of Arbitrarily Tight Upper and Lower Bounds on the Bayes Error -- Building RBF Networks for Time Series Classification by Boosting -- Similarity Measures and
Clustering of String Patterns -- Pattern Recognition for Intrusion Detection in Computer Networks -- Model-Based Pattern Recognition -- Structural Pattern Recognition in Graphs -- Deriving Pseudo-Probabilities of Correctness Given
Scores (DPPS) -- Weighed Mean and Generalized Median of Strings -- A Region-Based Algorithm for Classifier-Independent Feature Selection -- Inference of K-Piecewise Testable Tree Languages -- Mining Partially Periodic Patterns With
Unknown Periods From Event tream -- Combination of Classifiers for Supervised Learning: A Survey -- Image Segmentation and Pattern Recognition: A Novel Concept, the Histogram of Connected Elements -- Prototype Extraction for k-NN
Classifiers using Median Strings -- Cyclic String Matching: Efficient Exact and Approximate Algorithms -- Homogeneity, Autocorrelation and Anisotropy in Patterns -- Robust Structural Indexing through Quasi-Invariant Shape Signatures
and Feature Generation -- Energy Minimisation Methods for Static and Dynamic Curve Matching -- Recent Feature Selection Methods in Statistical Pattern Recognition -- Fast Image Segmentation under Noise -- Set Analysis of Coincident
Errors and Its Applications for Combining Classifiers -- Enhanced Neighbourhood Specifications for Pattern Classification -- Algorithmic Synthesis in Neural Network Training for Pattern Recognition -- Binary Strings and multi-class
learning problems
ISBN:9781461302315
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Combinatorial Optimization: 13
Keywords: Mathematics , Data structures (Computer science) , Artificial intelligence , Combinatorics , Statistical physics , Dynamical systems , Mathematics , Combinatorics , Artificial Intelligence (incl. Robotics) , Data Structures, Cryptology and Information Theory , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-2002-9780387217031:ONLINE Show nearby items on shelf
Title:Models of Neural Networks IV Early Vision and Attention
Author(s):
Date:2002
Size:1 online resource (413 p.)
Note:10.1007/978-0-387-21703-1
Contents:1 Neurons, Networks, and Cognition: An Introduction to Neural Modeling -- 1.1 Introduction -- 1.2 Neurons -- 1.3 Local Cortical Network Dynamics -- 1.4 Collective Computation: Associative Memory -- 1.5 Concluding Remarks -- 1.6
Acknowledgments -- 1.7 References -- 2 The Gaze Control System -- 2.1 Introduction -- 2.2 The Gaze Control System in One and Two Dimensions -- 2.3 New Aspects for Eye Rotations in 3D -- 2.4 Mathematics of 3D Rotational Kinematics --
2.5 Donders’ Law and Listing’s Law -- 2.6 Head-free Saccadic Gaze Shifts in 3D -- 2.7 Conclusion -- 2.8 References -- 3 Integrating Anatomy and Physiology of the Primary Visual Pathway: From LGN to Cortex -- 3.1 Introduction -- 3.2 The
LGN -- 3.3 Models of the LGN -- 3.4 The Visual Cortex -- 3.5 Models of the Visual Cortex -- 3.6 References -- 4 Neural Principles of Preattentive Scene Segmentation: Hints from Cortical Recordings, Related Models, and Perception -- 4.1
Introduction -- 4.2 Properties of Synchronized Fast Cortical Oscillations (FCOs) -- 4.3 Coding Contour Continuity -- 4.4 Coding Region Continuity -- 4.5 Coding the Separation of Adjacent Regions -- 4.6 Spatially Restricted
Synchronization Among FCOs -- 4.7 Additional Properties of FCOs -- 4.8 Stimulus-Locked Scene Segmentation -- 4.9 Early Labeling of Visual Objects by FCO- or Rate-Coherence? -- 4.10 Appendix -- 4.11 References -- 5 Figure-Ground
Segregation and Brightness Perception at Illusory Contours: A Neuronal Model -- 5.1 Introduction -- 5.2 Methods -- 5.3 Results -- 5.4 Discussion -- 5.5 Acknowledgment -- 5.6 References -- 6 Controlling the Focus of Visual Selective
Attention -- 6.1 Introduction -- 6.2 A Computational Model of The Dorsal Pathway -- 6.3 Simulation Results -- 6.4 Discussion -- 6.5 References -- 7 Activity-Gating Attentional Networks -- 7.1 Introduction -- 7.2 Activity-Gating
Networks -- 7.3 Results -- 7.4 Discussion -- 7.5 References -- 8 Timing and Counting Precision in the Blowfly Visual System -- 8.1 Introduction -- 8.2 Signal, Noise and Information Transmission in a Modulated Poisson Process -- 8.3 The
Early Stages of Fly Vision -- 8.4 Coding in a Blowfly Motion Sensitive Neuron -- 8.5 Discussion and Conclusions -- 8.6 References -- 9 Paradigms for Computing with Spiking Neurons -- 9.1 Introduction -- 9.2 A Formal Computational Model
for a Network of Spiking Neurons -- 9.3 McCulloch-Pitts Neurons versus Spiking Neurons -- 9.4 Computing with Temporal Patterns -- 9.5 Computing with a Space-Rate Code -- 9.6 Analog Computation on Time Series in a Space-Rate Code -- 9.7
Computing with Firing Rates -- 9.8 Firing Rates and Temporal Correlations -- 9.9 Networks of Spiking Neurons for Storing and Retrieving Information -- 9.10 Computing on Spike Trains -- 9.11 Conclusions -- 9.12 References
ISBN:9780387217031
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Artificial intelligence , Complexity, Computational , Computer Science , Artificial Intelligence (incl. Robotics) , Complexity
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Call number:SPRINGER-2002-9780306469671:ONLINE Show nearby items on shelf
Title:Intelligent Robotic Systems Design, Planning, and Control
Author(s): Witold Jacak
Date:2002
Size:1 online resource (310 p.)
Note:10.1007/b115982
Contents:Off-Line Planning, Programming, and Simulation of Intelligent Robotic Systems -- Virtual Robotic Cells -- Planning of Robotic Cell Actions -- Off-Line Planning of Robot Motion -- CAP/CAM Systems for Robotic Cell Design -- Intelligent
Robotic Systems -- Event-Based Real-Time Control of Intelligent Robotic Systems Using Neural Networks and Fuzzy Logic -- The Execution Level of Robotic Agent Action -- The Coordination Level of a Multiagent Robotic System -- The
Organization Level of a Robotic System -- Real-Time Monitoring -- Object-Oriented Discrete-Event Simulator of Intelligent Robotic Cells
ISBN:9780306469671
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:IFSR International Series on Systems Science and Engineering: 14
Keywords: Computer science , Computers , Artificial intelligence , Mechanical engineering , Computer Science , Theory of Computation , Artificial Intelligence (incl. Robotics) , Mechanical Engineering
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Call number:SPRINGER-2001-9789401006781:ONLINE Show nearby items on shelf
Title:Practical Applications of Computational Intelligence Techniques
Author(s):
Date:2001
Size:1 online resource (381 p.)
Note:10.1007/978-94-010-0678-1
Contents:1. An introduction to computational intelligence paradigms -- 1 Computational intelligence – a formal definition -- 2 The logic of fuzzy sets -- 3 Computational models of neural nets -- 4 Genetic algorithms -- 5 Belief networks -- 6
Computational learning theory -- 7 Synergism of the computational intelligence paradigms -- 8 Conclusions and future directions -- References -- 2. Networked virtual park -- 1 Introduction -- 2 The attraction builder -- 3 Networked
virtual environment system -- 4 The server -- 5 Conclusion -- Acknowledgements -- References -- 3. Commercial coin recognisers using neural and fuzzy techniques -- 1 Introduction -- 2 Problem analysis and database compilation -- 3
Approach using artificial neural networks models -- 4 Approach using fuzzy logic models -- 5 Conclusions -- References -- 4. Fuzzy techniques in intelligent household appliances -- 1 Introduction -- 2 Fuzzy approaches for intelligent
devices -- 3 Introducing fuzziness to kitchen oven -- 4 Refrigerator-freezer control using fuzzy logic -- 5 Model and simulation of refrigerating-freezing appliance using one compressor -- 6 Hardware implementation -- 7 Decrease of
energy consumption from national point-of-view -- 8 Conclusion -- References -- 5. Neural prediction in industry: increasing reliability through use of confidence measures and model combination -- 1 Introduction -- 2 Paper curl
prediction -- 3 Neural network model development -- 4 Model combination -- 5 Confidence measures -- 6 Results -- 7 Discussion -- Acknowledgments -- References -- 6. Handling the back calculation problem in aerial spray models using a
genetic algorithm -- 1 Introduction -- 2 Early spray models -- 3 Genetic algorithms -- 4 Development of Fortran-SAGA -- 5 Development of VB-SAGA 1.0 -- 6 Development of VB-SAGA 2.0 -- 7 Summary and conclusions -- References -- 7.
Genetic algorithm optimization of a filament winding process modeled in WITNESS -- 1 Introduction -- 2 Filament winding model -- 3 Genetic algorithm interface -- 4 Results -- 5 Conclusions -- 6 Summary -- Acknowledgments -- References
-- 8.Genetic algorithm for optimizing the gust loads for predicting aircraft loads and dynamic response -- 1 Introduction -- 2 Problem statement and related mathematical underpinnings -- 3 An approach using genetic algorithm -- 4
Results of approach on linear aircraft model -- 5 Summary and conclusion -- Acknowledgments -- References -- 9. A stochastic dynamic programming technique for property market timing -- 1 Introduction -- 2 Review of theoretical
considerations -- 3 Specification of market timing model -- 4 Stochastic dynamic programming -- 5 Data used in the simulation study -- 6 Performance and evaluation tests -- 7 Conclusions -- References -- 10. A hybrid approach to breast
cancer diagnosis -- 1 Introduction -- 2 KBANNs -- 3 Metabolic features of cancerous breast tissues -- 4 Knowledge elicitation and refinement -- 5 31P MRS data -- 6 KBANN topology -- 7 Results -- 8 Conclusions -- Acknowledgements --
References -- 11. Artificial neural networks as a computer aid for lung disease detection and classification in ventilation-perfusion lung scans -- 1 Introduction -- 2 Artificial neural networks -- 3 Materials and methods -- 4 Results
-- 5 Discussion -- Acknowledgments -- References -- 12. Neural network for classification of focal liver lesions in ultrasound images -- 1 Introduction -- 2 Texture analysis of focal liver lesions by neural networks -- 3 Experimental
results -- 4 Discussion -- 5 Conclusions -- Acknowledgments -- Entropy -- Root mean square (RMS) variation -- First moment of power spectrum -- References
ISBN:9789401006781
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Series in Intelligent Technologies: 16
Keywords: Computer science , Artificial intelligence , Mathematical logic , Computer Science , Artificial Intelligence (incl. Robotics) , Mathematical Logic and Foundations
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Call number:SPRINGER-2001-9789401006743:ONLINE Show nearby items on shelf
Title:Plausible Neural Networks for Biological Modelling
Author(s):
Date:2001
Size:1 online resource (262 p.)
Note:10.1007/978-94-010-0674-3
Contents:I Fundamentals -- 1 Biological Evidence for Synapse Modification Relevant for Neural Network Modelling -- 2 What is Different with Spiking Neurons? -- 3 Recurrent Neural Networks: Properties and Models -- 4 A Derivation of the
Learning Rules for Dynamic Recurrent Neural Networks -- II Applications to Biology -- 5 Simulation of the Human Oculomotor Integrator Using a Dynamic Recurrent Neural Network -- 6 Pattern Segmentation in an Associative Network of
Spiking Neurons -- 7 Cortical Models for Movement Control -- 8 Implications of Activity Dependent Processes in Spinal Cord Circuits for the Development of Motor Control a Neural Network Model -- 9 Cortical Maps as Topology—Representing
Neural Networks Applied to Motor Control: Articulatory Speech Synthesis -- 10 Line and Edge Detection by Curvature—Adaptive Neural Networks -- 11 Path Planning and Obstacle Avoidance Using a Recurrent Neural Network
ISBN:9789401006743
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modelling: Theory and Applications: 13
Keywords: Computer science , Neurosciences , Computer simulation , Evolutionary biology , System theory , Biomathematics , Statistical physics , Dynamical systems , Computer Science , Simulation and Modeling , Neurosciences , Systems Theory, Control , Statistical Physics, Dynamical Systems and Complexity , Mathematical and Computational Biology , Evolutionary Biology
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Call number:SPRINGER-2001-9783642594717:ONLINE Show nearby items on shelf
Title:Advances in Classification and Data Analysis
Author(s):
Date:2001
Size:1 online resource (378 p.)
Note:10.1007/978-3-642-59471-7
Contents:I Classification and Multidimensional Scaling -- Cluster Analysis -- Galois Lattices of Modal Symbolic Objects -- Exploratory Methods for Detecting High Density Regions in Cluster Analysis -- A k-means Consensus Classification --
MIXISO: A Non-Hierarchical Clustering Method for Mixed-Mode Data -- “Stable Clusters”: A New Approach for Clustering Binary Variables -- Double k-means Clustering for Simultaneous Classification of Objects and Variables -- Discriminant
Analysis -- Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection -- The Effect of Telephone Survey Design on Discriminant Analysis -- Proximity Structures Analysis and Multidimensional Scaling -- A
Dissimilarity Measure Between Probabilistic Symbolic Objects -- Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances -- Comparing Capital Structure through Similarity Analysis: Evidence about Two Industrial
Districts -- The Geometric Approach to the Comparison of Multivariate Time Trajectories -- Ultramine Spaces in Classification -- Genetic Algorithms and Neural Network -- Genetic Algorithms and Clustering: an Application to Fisher’s
Iris Data -- Using Radial Basis Function Networks for Classification Problems -- Unconditional Latent Budget Analysis: a Neural Network Approach -- II Multivariate Data Analysis -- Factorial Methods -- Generalized Constrained Principal
Component Analysis -- Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis -- Perturbation Models for Principal Component Analysis of Rainwater Pollution Data -- Core Matrix Rotation to
Natural Zeros in Three-Mode Factor Analysis -- Textual Data Analysis -- A Factorial Technique for Analysing Textual Data with External Information -- Subjects on Using Open and Closed-Ended Questions -- Regression Models for Data
Analysis -- Alternative Error Term Specifications in the Log-Tobit Model -- A Customer Satisfaction Approach for User-Oriented Comparative Evalutations of Services -- Mixture Models for Maximum Likelihood Estimation from Incomplete
Values -- Robust Inference in the Logistic Regression Model -- A Plot for Submodel Selection in Generalized Linear Models -- On the Use of Multivariate Regression Models in the Context of Multilevel Analysis -- Nonparametric Methods --
Nonparametric Estimation Methods for Sparse Contingency Tables -- Reduction of Prediction Error by Bagging Projection Pursuit Regression -- Selecting Regression Tree Models: a Statistical Testing Procedure -- Linear Fuzzy Regression
Analysis with Asymmetric Spreads -- III Spatial and Time Series Data Analysis -- Time Series Analysis -- Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data -- Dynamics and Comovements of Regional Exports in Italy
-- Large-sample Properties of Neural Estimators in a Regression Model with ?-mixing Errors -- Subseries Length in MBB Procedure for ?-mixing Processes -- Modelling a Change of Classification by a Structural Time Series Approach --
Spatial Data Analysis -- Spatial Discriminant Analysis Using Covariates Information -- Some Aspects of Multivariate Geostatistics -- Exploring Multivariate Spatial Data: an Application to Election Data -- Measures of Distances for
Spatial Data: an Application to the Banking Deposits in the Italian Provinces -- IV Applications and Case Studies -- Statistical Analysis of Papal Encyclicals -- Life Courses as Sequences: an Experiment in Clustering via Monothetic
Divisive Algorithms -- Significance of the Classification for the Italian Service Sector Activities -- A Neural Net Model to Predict High Tides in Venice -- Author Index -- Keywords Index
ISBN:9783642594717
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Data structures (Computer science) , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures, Cryptology and Information Theory
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Call number:SPRINGER-2001-9783034883665:ONLINE Show nearby items on shelf
Title:Classical and Quantum Computing with C++ and Java Simulations
Author(s): Yorick Hardy
Date:2001
Size:1 online resource (589 p.)
Note:10.1007/978-3-0348-8366-5
Contents:1 Algorithms -- 2 Boolean Algebra -- 3 Number Representation -- 4 Logic Gates -- 5 Combinational Circuits -- 6 Latches and Registers -- 7 Synchronous Circuits -- 8 Recursion -- 9 Abstract Data Types -- 10 Error Detection and
Correction -- 11 Cryptography -- 12 Finite State Machines -- 13 Computability and Complexity -- 14 Neural Networks -- 15 Genetic Algorithms -- 16 Quantum Mechanics -- 17 Quantum Bits and Quantum Computation -- 18 Measurement and
Quantum States -- 19 Quantum State Machines -- 20 Teleportation -- 21 Quantum Algorithms -- 22 Quantum Information Theory -- 23 Quantum Error Detection and Correction -- 24 Quantum Hardware -- 25 Internet Resources
ISBN:9783034883665
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer science , Computer programming , Quantum computers , Mathematics , Quantum Computing , Programming Techniques , Computer Science, general , Mathematics, general
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Call number:SPRINGER-2001-9781461302551:ONLINE Show nearby items on shelf
Title:Steiner Trees in Industry
Author(s):
Date:2001
Size:1 online resource (507 p.)
Note:10.1007/978-1-4613-0255-1
Contents:Steiner Minimum Trees in Uniform Orientation Metrics -- Genetic Algorithm Approaches to Solve Various Steiner Tree Problems -- Neural Network Approaches to Solve Various Steiner Tree Problems -- Steiner Tree Problems in VLSI Layout
Designs -- Polyhedral Approaches for the Steiner Tree Problem on Graphs -- The Perfect Phylogeny Problem -- Approximation Algorithms for the Steiner Tree Problem in Graphs -- A Proposed Experiment on Soap Film Solutions of Planar
Euclidean Steiner Trees -- SteinLib: An Updated Library on Steiner Tree Problems in Graphs -- Steiner Tree Based Distributed Multicast Routing in Networks -- On Cost Allocation in Steiner Tree Networks -- Steiner Trees and the Dynamic
Quadratic Assignment Problem -- Polynomial Time Algorithms for the Rectilinear Steiner Tree Problem -- Minimum Networks for Separating and Surrounding Objects -- A First Level Scatter Search Implementation for Solving the Steiner Ring
Problem in Telecommunications Network Design -- The Rectilinear Steiner Tree Problem: A Tutorial
ISBN:9781461302551
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Combinatorial Optimization: 11
Keywords: Computer science , Computer communication systems , Computers , Computer-aided engineering , Evolutionary biology , Electrical engineering , Computer Science , Computer Communication Networks , Computer-Aided Engineering (CAD, CAE) and Design , Electrical Engineering , Theory of Computation , Evolutionary Biology
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Call number:SPRINGER-2001-9781461201595:ONLINE Show nearby items on shelf
Title:Geometric Algebra with Applications in Science and Engineering
Author(s):
Date:2001
Size:1 online resource (592 p.)
Note:10.1007/978-1-4612-0159-5
Contents:I Advances in Geometric Algebra -- 1 Old Wine in New Bottles: A New Algebraic Framework for Computational Geometry -- 2 Universal Geometric Algebra -- 3 Realizations of the Conformal Group -- 4 Hyperbolic Geometry -- II Theorem
Proving -- 5 Geometric Reasoning With Geometric Algebra -- 6 Automated Theorem Proving -- III Computer Vision -- 7 The Geometry Algebra of Computer Vision -- 8 Using Geometric Algebra for Optical Motion Capture -- 9 Bayesian Inference
and Geometric Algebra: An Application to Camera Localization -- 10 Projective Reconstruction of Shape and Motion Using Invariant Theory -- IV Robotics -- 11 Robot Kinematics and Flags -- 12 The Clifford Algebra and the Optimization of
Robot Design -- 13 Applications of Lie Algebras and the Algebra of Incidence -- V Quantum and Neural Computing, and Wavelets -- 14 Geometric Algebra in Quantum Information Processing by Nuclear Magnetic Resonance -- 15 Geometric
Feedforward Neural Networks and Support Mul- tivector Machines -- 16 Image Analysis Using Quaternion Wavelets -- VI Applications to Engineering and Physics -- 17 Objects in Contact: Boundary Collisions as Geometric Wave Propagation --
18 Modern Geometric Calculations in Crystallography -- 19 Quaternion Optimization Problems in Engineering -- 20 Clifford Algebras in Electrical Engineering -- 21 Applications of Geometric Algebra in Physics and Links With Engineering
-- VII Computational Methods in Clifford Algebras -- 22 Clifford Algebras as Projections of Group Algebras -- 23 Counterexamples for Validation and Discovering of New Theorems -- 24 The Making of GABLE: A Geometric Algebra Learning
Environment in Matlab -- 25 Helmstetter Formula and Rigid Motions with CLIFFORD -- References
ISBN:9781461201595
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer science , Algebra , Applied mathematics , Engineering mathematics , Computational intelligence , Control engineering , Robotics , Mechatronics , Mathematics , Applications of Mathematics , Mathematics of Computing , Algebra , Appl.Mathematics/Computational Methods of Engineering , Computational Intelligence , Control, Robotics, Mechatronics
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Call number:SPRINGER-2001-9780387216065:ONLINE Show nearby items on shelf
Title:The Elements of Statistical Learning Data Mining, Inference, and Prediction
Author(s): Trevor Hastie
Date:2001
Size:1 online resource (536 p.)
Note:10.1007/978-0-387-21606-5
Contents:1 Introduction -- 2 Overview of Supervised Learning -- 3 Linear Methods for Regression -- 4 Linear Methods for Classification -- 5 Basis Expansions and Regularization -- 6 Kernel Methods -- 7 Model Assessment and Selection -- 8 Model
Inference and Averaging -- 9 Additive Models, Trees, and Related Methods -- 10 Boosting and Additive Trees -- 11 Neural Networks -- 12 Support Vector Machines and Flexible Discriminants -- 13 Prototype Methods and Nearest-Neighbors --
14 Unsupervised Learning -- References -- Author Index
ISBN:9780387216065
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematical statistics , Database management , Artificial intelligence , Bioinformatics , Computational biology , Statistics , Statistical Theory and Methods , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Probability and Statistics in Computer Science , Computer Appl. in Life Sciences , Database Management , Artificial Intelligence (incl. Robotics)
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Call number:SPRINGER-2000-9783642572807:ONLINE Show nearby items on shelf
Title:Classification and Information Processing at the Turn of the Millennium Proceedings of the 23rd Annual Conference of the Gesellschaft für Klassifikation e.V., University of Bielefeld, March 10–12, 1999
Author(s):
Date:2000
Size:1 online resource (492 p.)
Note:10.1007/978-3-642-57280-7
Contents:1: Data Analysis and Classification -- New Developments in Latent Variable Models -- Regression-Type Models for Kohonen’s Self-Organizing Networks -- Relational Data Analysis, Discrimination and Classification -- Data Types and
Information: Beyond the Current Practice of Data Analysis -- Two-Mode Three-Way Asymmetric Multidimensional Scaling with Constraints on Asymmetry -- Regularized Discriminant Analysis with Optimally Scaled Data -- Recurrence Properties
in Two-Mode Hierarchical Clustering -- On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia -- On the Modal Understanding of Triadic Contexts -- Clustering and Scaling: Grouping Variables in Burt Matrices --
Standardisation of Data Set under Different Measurement Scales -- Neural Networks for Two-Group Classification Problems with Monotonicity Hints -- A Bridge from the Nearest Neighbour to the Fixed Bandwidth in Nonparametric Functional
Estimation -- Clustering Techniques for the Detection of Business Cycles -- Simulated Annealing Optimization for Two-mode Partitioning -- 2: Computer Science, Computational Statistics, and Data Mining -- Competitiveness of Evolutionary
Algorithms -- Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach -- Algorithm Selection Support for Classification -- Society of Knowledge — Interdisciplinary Perspectives of Information Processing in
Virtual Networks -- What is Computational Statistics? -- A Development Framework for Nature Analogic Heuristics -- Systematizing and Evaluating Data Mining Methods -- On Textures: A Sketch of a Texture-Based Image Segmentation Approach
-- Automatic Texture Classification by Visual Properties -- Java Servlets versus CGI — Implications for Remote Data Analysis -- Generating Automatically Local Feature Groups of Complex and Deformed Objects -- Decision Tree Construction
by Association Rules -- Learning Complex Similarity Measures -- Graphical Programming in Statistics: The XGPL Prototype -- 3: Management Science, Marketing, and Finance -- Measuring Brand Loyalty on the Individual Level: a Comparative
Study -- Facility Location Planning with Qualitative Location Factors -- Testing the Multinomial Logit Model -- Time Optimal Portfolio Selection: Mean-variance-efficient Sets for Arithmetic and Geometric Brownian Price Processes --
Analyzing Multigroup Data with Structural Equation Models -- Validity of Customized and Adaptive Hybrid Conjoint Analysis -- Analysis of the Assessments of One’s Values Among Different Cohorts in Age and Sex by Multidimensional Scaling
-- Impacts of Hedging with Futures on Optimal Production Levels -- How to Integrate Stock Price Jumps into Portfolio Selection -- A Multivariate GARCH-M Model for Exchange Rates in the US, Germany and Japan -- A Model for Constructing
Quadratic Objective Functions and its Applications to Price Adjustments -- 4: Biology, Genome Analysis, and Medicine -- Phylogeny Inference by Minimum Conflict -- Detecting Change-Points in Aircraft Noise Effects -- A Generalized
Estimating Equations Approach to Quantifying the Influence of Meteorological Conditions on Hand Dermatitis -- Discrimination in Paired Data Situations -- Classification of Multidimensional Visual Field Data for Glaucoma Diagnosis --
Quality of Life of Cancer Patients: A Multi-set Analysis -- A New Approach on Nonparametric Repeated Measures Analysis of Variance -- 5: Text Analysis and Information Retrieval -- GERHARD (German Harvest Automated Retrieval and
Directory) -- Automatic Labelling of References for Internet Information Systems -- Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries -- Computer Aided Evaluations of Linguistic Atlases: Prom Automatic
Classification to Dialectometry -- Structured Phrases for Indexing and Retrieval of Research Topics -- Author and Subject Index
ISBN:9783642572807
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Probabilities , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes
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Call number:SPRINGER-2000-9781461221128:ONLINE Show nearby items on shelf
Title:Studies in the Atmospheric Sciences
Author(s):
Date:2000
Size:1 online resource (X, 199p p.)
Note:10.1007/978-1-4612-2112-8
Contents:1 Introduction -- 1 Statistics in the Climate and Weather Sciences -- 2 A Guide to this Volume -- 3 Software, Datasets, and the Web Companion -- 2 A Statistical Perspective on Data Assimilation in Numerical Models -- 1 Introduction --
2 Assimilation and Penalized Least Squares -- 3 Time-Dependent Assimilation Methods -- 4 Ensemble Forecasting -- 5 Numerical Studies -- 6 Conclusions -- 3 Multivariate Spatial Models -- 1 Introduction -- 2 Cokriging -- 3 Kriging with
External Drift -- 4 A Hierarchical Model -- 5 Miscellaneous Topics -- 6 Applications -- 7 Conclusions -- 4 Hierarchical Space—Time Dynamic Models -- 1 Introduction -- 2 Hierarchical Space—Time Dynamic Modeling -- 3 Tropical Wind
Process -- 4 Ocean Wind Implementation -- 5 Discussion -- 5 Experimental Design for Spatial and Adaptive Observations -- 1 Introduction -- 2 Experimental Design: Spatial Fields -- 3 Experimental Design in Space—Time -- 4 Discussion --
6 Seasonal Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study -- 1 Introduction -- 2 Stratospheric Ozone Data -- 3 Principal Component Analysis -- 4 Continuous Basis Functions to Represent Ozone -- 5 Varying
Coefficient Models -- 6 Discussion -- 7 Neural Networks: Cloud Parameterizations -- 1 Introduction -- 2 Cloud Parameterizations -- 3 Simulation of Cloud Cover -- 4 Conclusions and Future Work -- 8 Exploratory Statistical Analysis of
Tropical Oceanic Convection Using Discrete Wavelet Transforms -- 1 Introduction -- 2 Description of the Dataset -- 3 Discrete Wavelets -- 4 Statistical Study of Cloud Systems -- 5 Conclusions and Future Work -- 9 Predicting Clear-Air
Turbulence -- 1 Introduction -- 2 Indices Derived from the RUC-60 Model -- 3 Data Structure -- 4 The Single Index Approach -- 5 Modeling Strategy -- 6 Implementing FDA + MARS for CAT Forecast -- 7 MARS as Variable Subset Selection -- 8
Conclusions -- 10 Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean -- 1 Introduction -- 2 SeaWiFS Ocean Color Data -- 3 Semivariograms and Other Tools in Spatial Statistics -- 4 Ocean Color Semivariograms
-- 5 Spatial Patterns for the North Atlantic Ocean -- 6 Conclusions and Final Remarks -- References
ISBN:9781461221128
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Statistics: 144
Keywords: Statistics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-1999-9783642601873:ONLINE Show nearby items on shelf
Title:Classification in the Information Age Proceedings of the 22nd Annual GfKl Conference, Dresden, March 4–6, 1998
Author(s):
Date:1999
Size:1 online resource (608 p.)
Note:10.1007/978-3-642-60187-3
Contents:Plenary and Semi Plenary Presentations -- Classification and Information -- Scientific Information Systems and Metadata -- Multiple Expert Fusion -- How To Make a Multimedia Textbook and How to Use It -- Clustering and Neural Network
Approaches -- Data Model and Classification by Trees -- A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ”ISTOS: An Application in the Computer Networking Domain” -- Natural and
Constrained Classification of Data by Fuzzy Clustering Techniques -- Finance and Risk -- From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures -- Does the Planning Horizon Affect the Portfolio Structure?
-- Statistical Approach in Financial Risk Analysis and Management — Review of Concepts -- Classification and Related Aspects of Data Analysis and Learning -- Classification, Data Analysis, and Statistics -- On Data-Based Checking of
Hypotheses in the Presence of Uncertain Knowledge -- Multivariate Directional Tests with Incomplete Data -- Classification and Positioning of Data Mining Tools -- Hazard Rate Estimation from Censored Data -- A Sequential Modification
of EM Algorithm -- Analysis of the Stability of Clusters of Variables via Bootstrap -- Models and Methods for Clusterwise Linear Regression -- Statistical Clustering Under Distortions: Optimality and Robustness -- Discrete Scan
Statistics for Detecting Change-points in Binomial Sequences -- Dynamic Confinement, Classification, and Imaging -- Approximation of Distributions by Sets -- Computation of the Minimum Covariance Determinant Estimator -- Graphical
Tools for the Detection of Multiple Outliers in Spatial Statistics Models -- Classification for Repeated Measurements in Gaussian and Related Populations -- Optimal vs. Classical Linear Dimension Reduction -- Testing for the Number of
States in Hidden Markov Models with Application to Ion Channel Data -- ClustanGraphics3: Interactive Graphics for Cluster Analysis -- Conceptual Analysis and Learning -- Conceptual Meaning of Clusters -- Group Theoretical Structures
for Representing Data Contexts -- The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions -- Efficient State-Space Representation by Neural Maps for Reinforcement
Learning -- Match-Gaphs of Random Digraphs -- An Improved Training Method for Feed-Forward Neural Networks -- Decision Support By Order Diagrams -- Neural Network Classification in Exponential Models with Unknown Statistics --
Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing -- Usage of New Media and the Internet -- Information Systems, Multimedia, and WWW -- Remote Data Analysis Using Java -- Metrics for World Wide Web
Information Systems -- Modeling Concepts for Flexible Workflow Support -- Navigation and Classification on the Internet and Virtual Universities -- Visualization and Categorization of Cached Hypermedia Data -- Virtualization of Course
Structures Through Adaptive Internet Techniques -- Navigation in Cyberspace Using Multi-Dimensional Scaling to Create Three-dimensional Navigational Maps -- Structured Documentation. An Approach to Identify and Model Knowledge
Components for Learning Purposes -- Applications in Economics -- Finance, Capital, and Risk Management -- Measurement of the Probability of Insolvency with Mixture-of-Experts Networks -- An Application of Methods of Multivariate Data
Analysis to Compare Different Approaches to Exchange Rate Forecasting -- Intelligent Software Agents: Current Technology and Potential Impact on Electronic Markets and Intermediaries -- Clustering of Stocks in Risk Context -- Measuring
Risk in Value-at-Risk Based on Student’s t-Distribution -- Using ANN to Estimate VaR -- Forecasting Discretized Daily USD/DEM Exchange Rate Movements with Quantitative Models -- Study Major Choice — Factor Preference Measurement --
What is “Incentive Compatibility”? -- Marketing and Market Research -- An Integrative Approach for Product Development and Customer Satisfaction Measurement -- Market Segmentation and Profiling Using Artificial Neural Networks -- A
Classification Approach for Competitive Pricing -- Panel-Data Based Competitive Market Structure and Segmentation Analysis Using Self-Organizing Feature Maps -- Analysis of A Priori Defined Groups in Applied Market Research -- Modeling
and Measuring of Competitive Reactions to Changes of Marketing Mix at the Retail Level -- Applications in Archeology, Bioinformatics, Environment, and Health -- Bayesian Statistics for Archaeology -- Investigating Information Retrieval
with the Environmental Thesaurus of the Umweltbundesamt -- Data Mining with a Neuro-Fuzzy Model for the Ozone Prognosis -- Attributing Shares of Risk to Grouped or Hierarchically Ordered Factors -- New Hypotheses and Tests for the
Multivariate Bioequivalence Problem -- Diagnostic Support in Allergology Using Interactive Learning Classifier Systems -- On Nonparametric Repeated Measures Analysis of Variance
ISBN:9783642601873
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business mathematics , Data structures (Computer science) , Computers , Statistics , Economic theory , Econometrics , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Econometrics , Business Mathematics , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures , Information Systems and Communication Service
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Call number:SPRINGER-1999-9783642601262:ONLINE Show nearby items on shelf
Title:Classification and Data Analysis Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Società Italiana di Statistica (SIS) Pescara, July 3–4, 1997
Author(s):
Date:1999
Size:1 online resource (378 p.)
Note:10.1007/978-3-642-60126-2
Contents:I: Classification -- Methodologies in Classification -- Measuring the influence of individual observations and variables in cluster analysis -- Consensus classification for a set of multiple time series -- A bootstrap method for
adaptive cluster sampling -- Forecasting a classification -- Fuzzy Clustering and Fuzzy Methods -- Neural networks as a fuzzy semantic network of events -- Hierarchical fuzzy clustering: an example of spatio-temporal analysis -- A new
algorithm for semi-fuzzy clustering -- Fuzzy classification and hyperstructures: an application to evaluation of urban projects -- Variable selection in fuzzy clustering -- II : Other Approaches for Classification -- Discrimination and
Classification -- Discriminant analysis using markovian automodels -- Discretization of continuous-valued data in symbolic classification learning -- Logistic discrimination by Kullback-Leibler type distance measures -- An empirical
discrimination algorithm based on projection pursuit density estimation -- Regression Tree and Neural Networks -- Notes on methods for improving unstable classifiers -- Selection of cut points in generalized additive models -- Latent
budget trees for multiple classification -- III: Multivariate and Multidimensional Data Analysis -- Proximity Analysis and Multidimensional Scaling -- Methods for asymmetric three-way scaling -- Comparison of Euclidean approximations
of non-Euclidean distances -- Analysing dissimilarities through multigraphs -- Professional positioning based on dominant eigenvalue scores (DES), dimensional scaling (DS) and multidimensional scaling (MDS) synthesis of binary
evaluations matrix of experts -- Non-metric full-multidimensional scaling -- Factorial Methods -- Dynamic factor analysis -- A non symmetrical generalised co-structure analysis for inspecting quality control data -- Principal surfaces
constrained analysis -- Generalised canonical analysis on symbolic objects -- Analysis of qualitative variables in structural models with unique solutions -- Spatial Analysis -- Exploring multivariate spatial data: line transect data
-- On the assessment of geographical survey units using constrained classification -- Kalman filter applied to non-causal models for spatial data -- Multiway Data Analysis -- A paradigmatic path for statistical content analysis using
an integrated package of textual data treatment -- The analysis of auxological data by means of nonlinear multivariate growth curves -- The Kalman filter on three-way data matrix for missing data: a case study on sea water pollution --
Three-way data arrays with double neighborhood relations as a tool to analyze a contiguity structure -- Firm performance analysis with panel data -- Multivariate Data Analysis -- Detection of multivariate outliers by convex hulls --
Reducing dimensionality effects on kernel density estimation: the bivariate gaussian case -- Shewhart’s control chart: some observations -- Projection pursuit regression with mixed variables -- Recursive estimation of system parameter
in environmental time series models -- Kernel methods for estimating covariance functions from curves -- Detection of subsamples in link-free regression analysis -- Asymptotic prior to posterior analysis for graphical gaussian models
-- IV: Case Studies -- Applied Classification and Data Analysis -- Using qualitative information and neural networks for forecasting purposes in financial time series -- A new approach to the stock location assignment problem by
multidimensional scaling and seriation -- Food coding in nutritional surveys -- UNAIDED: a PC system for binary and ternary segmentation analysis -- Author Index -- Key Words Index
ISBN:9783642601262
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Data structures (Computer science) , Probabilities , Statistics , Economic theory , Mathematics , Probability Theory and Stochastic Processes , Economic Theory/Quantitative Economics/Mathematical Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures, Cryptology and Information Theory
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Call number:SPRINGER-1999-9781475730234:ONLINE Show nearby items on shelf
Title:Handbook of Combinatorial Optimization Supplement Volume A
Author(s):
Date:1999
Size:1 online resource (648 p.)
Note:10.1007/978-1-4757-3023-4
Contents:The Maximum Clique Problem -- Linear Assignment Problems and Extensions -- Bin Packing Approximation Algorithms: Combinatorial Analysis -- Feedback Set Problems -- Neural Networks Approaches for Combinatorial Optimization Problems --
Frequency Assignment Problems -- Algorithms for the Satisfiability (SAT) Problem -- The Steiner Ratio of Lp-planes -- A Cogitative Algorithm for Solving the Equal Circles Packing Problem -- Author Index
ISBN:9781475730234
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computers , Computer science , Information theory , Probabilities , Discrete mathematics , Combinatorics , Mathematics , Discrete Mathematics , Probability Theory and Stochastic Processes , Combinatorics , Discrete Mathematics in Computer Science , Theory of Computation , Information and Communication, Circuits
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Call number:SPRINGER-1998-9783642720871:ONLINE Show nearby items on shelf
Title:Classification, Data Analysis, and Data Highways Proceedings of the 21st Annual Conference of the Gesellschaft für Klassifikation e.V., University of Potsdam, March 12–14, 1997
Author(s):
Date:1998
Size:1 online resource (414 p.)
Note:10.1007/978-3-642-72087-1
Contents:1: Classification and Data Analysis -- Entropy Optimizing Methods for the Estimation of Tables -- Automatic Spectral Classification -- An Approach to Modelling Directional and Betweenness Data -- The Application of Random Coincidence
Graphs for Testing the Homogeneity of Data -- City-Block Scaling: Smoothing Strategies for Avoiding Local Minima -- Probability Models and Limit Theorems for Random Interval Graphs with Applications to Cluster Analysis -- Labor Supply
Decisions in Germany A Semiparametric Regression Analysis -- A Multiplicative Approach to Partitioning the Risk of Disease -- Multiple Media Stream Data Analysis: Theory and Applications -- Multimedia Data Analysis using ImageTcl --
Robust Bivariate Boxplots and Visualization of Multivariate Data -- Unsupervised Fuzzy Classification of Multispectral Imagery Using Spatial-Spectral Features -- 2: Mathematical and Statistical Methods -- Some News about C.A.MAN
Computer Assisted Analysis of Mixtures -- Mathematical Aspects of the Feature Pattern Analysis -- A Note on the Off-Block-Diagonal Approximation of the Burt Matrix as Applied in Joint Correspondence Analysis -- A New Look at the Visual
Performance of Nonparametric Hazard Rate Estimators -- Multilevel Modeling: When and Why -- Upper Bounds for the P-Values of a Scan Statistic with a Variable Window -- A Branch-and-bound Algorithm for Boolean Regression -- Mathematical
Classification and Clustering: From How to What and Why -- Heteroskedastic Linear Regression Models — A Bayesian Analysis -- A Heuristic Partial-Least-Squares Approach to Estimating Dynamic Path Models -- 3: World Wide Web and the
Internet -- Using Logic for the Specification of Hypermedia Documents -- Project TeleTeaching Mannheim — Heidelberg -- WWW-Access to Relational Databases -- Technology, Data, Relevancy: A Culture-Theoretical Look at the Internet --
Self-Organizing Maps of Very Large Document Collections: Justification for the WEBSOM Method -- Segment-Specific Aspects of Designing Online Services in the Internet -- Design of World Wide Web Information Systems -- Large WWW Systems:
New Phenomena, Problems and Solutions -- Structured Visualization of Search Result List -- 4: Speech and Pattern Recognition -- Application of Discriminative Methods for Isolated Word Recognition -- Statistical Classifiers in Computer
Vision -- Speech Signal Classification with Hybrid Systems -- Stochastic Modelling of Knowledge Sources in Automatic Speech Recognition -- Classification of Speech Pattern Using Locally Recurrent Neural Networks -- 5: Knowledge and
Databases -- Information Gathering for Vague Queries Using Case Retrieval Nets -- Characterizing Bibliographic Databases by Content an Experimental Approach -- Medoc Searching Heterogeneous Bibliographic and Text Databases --
Supervised Learning with Qualitative and Mixed Attributes -- 6: Marketing -- A Comparison of Traditional Segmentation Methods with Segmentation Based upon Artificial Neural Networks by Means of Conjoint Data from a
Monte-Carlo-Simulation -- Classification of Pricing Strategies in a Competitive Environment -- Predicting the Amount of Purchase by a Procedure Using Multidimensional Scaling: An Application to Scanner Data on Beer -- Author and
Subject Index
ISBN:9783642720871
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Data structures (Computer science) , Computers , Statistics , Economic theory , Econometrics , Economics , Econometrics , Economic Theory/Quantitative Economics/Mathematical Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures , Information Systems and Communication Service
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Call number:SPRINGER-1998-9781461554738:ONLINE Show nearby items on shelf
Title:Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Author(s): Bilal M Ayyub
Date:1998
Size:1 online resource (371 p.)
Note:10.1007/978-1-4615-5473-8
Contents:1. The Role of Constrained Fuzzy Arithmetic in Engineering -- 2. General Perspective on the Formalization of Uncertain Knowledge -- 3. Distributional Representations of Random Interval Measurements -- 4. A Fuzzy Morphology: a Logical
Approach -- 5. Reliability Analysis with Fuzziness and Randomness -- 6. Fuzzy Signal Detection with Multiple Waveform Features -- 7. Uncertainty Modeling of Normal Vibrations -- 8. Modeling and Implementation of Fuzzy Time Point
Reasoning in Microprocessor Systems -- 9. Model Learning with Bayesian Networks for Target Recognition -- 10. System Life Cycle Optimization Under Uncertainty -- 11. Valuation-Based Systems for Pavement Management Decision Making --
12. Hybrid Least-Square Regression Analysis -- 13. Linear Regression with Random Fuzzy Numbers -- 14. Neural Net Solutions to Systems of Fuzzy Linear Equations -- 15. Fuzzy Logic: A Case Study in Performance Measurement -- 16. Fuzzy
Genetic Algorithm Based Approach to Machine Learning Under Uncertainty -- 17. Recurrent Neuro-Fuzzy Models of Complex Systems -- 18. Adaptive Fuzzy Systems with Sinusoidal Membership Functions -- 19. A Computational Method for Fuzzy
Optimization -- 20. Interaction of Fuzzy Knowledge Granules for Conjunctive Logic -- 21. Fuzzy Decision Processes with Expected Fuzzy Rewards -- 22. On the Computability of Possibilistic Reliability -- 23. Distributed Reasoning with
Uncertain Data -- 24. A Fresh Perspective on Uncertainty Modeling: Uncertainty vs. Uncertainty Modeling -- About the Editors
ISBN:9781461554738
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Series in Intelligent Technologies: 11
Keywords: Computer science , Operations research , Decision making , Artificial intelligence , Mathematical logic , Calculus of variations , Computer Science , Artificial Intelligence (incl. Robotics) , Mathematical Logic and Foundations , Calculus of Variations and Optimal Control Optimization , Operation Research/Decision Theory
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Call number:SPRINGER-1997-9783642979668:ONLINE Show nearby items on shelf
Title:Self-Organizing Maps
Author(s): Teuvo Kohonen
Date:1997
Edition:Second Edition
Size:1 online resource (426 p.)
Note:10.1007/978-3-642-97966-8
Contents:1. Mathematical Preliminaries -- 1.1 Mathematical Concepts and Notations -- 1.2 Distance Measures for Patterns -- 1.3 Statistical Pattern Recognition -- 1.4 The Subspace Methods of Classification -- 1.5 The Robbins-Monro Stochastic
Approximation -- 1.6 Dynamically Expanding Context -- 2. Justification of Neural Modeling -- 2.1 Models, Paradigms, and Methods -- 2.2 On the Complexity of Biological Nervous Systems -- 2.3 Relation Between Biological and Artificial
Neural Networks -- 2.4 What Functions of the Brain Are Usually Modeled? -- 2.5 When Do We Have to Use Neural Computing? -- 2.6 Transformation, Relaxation, and Decoder -- 2.7 Categories of ANNs -- 2.8 Competitive-Learning Networks --
2.9 Three Phases of Development of Neural Models -- 2.10 A Simple Nonlinear Dynamic Model of the Neuron -- 2.11 Learning Laws -- 2.12 Brain Maps -- 3. The Basic SOM -- 3.1 The SOM Algorithm in the Euclidean Space -- 3.2 The
“Dot-Product SOM” -- 3.3 Preliminary Demonstrations of Topology-Preserving Mappings -- 3.4 Basic Mathematical Approaches to Self-Organization -- 3.5 Initialization of the SOM Algorithms -- 3.6 On the “Optimal” Learning-Rate Factor --
3.7 Effect of the Form of the Neighborhood Function -- 3.8 Magnification Factor -- 3.9 Practical Advice for the Construction of Good Maps -- 3.10 Examples of Data Analyses Implemented by the SOM -- 3.11 Using Gray Levels to Indicate
Clusters in the SOM -- 3.12 Derivation of the SOM Algorithm in the General Metric -- 3.13 What Kind of SOM Actually Ensues from the Distortion Measure? -- 3.14 Batch Computation of the SOM (“Batch Map”) -- 3.15 Further Speedup of SOM
Computation -- 4. Physiological Interpretation of SOM -- 4.1 Two Different Lateral Control Mechanisms -- 4.2 Learning Equation -- 4.3 System Models of SOM and Their Simulations -- 4.4 Recapitulation of the Features of the Physiological
SOM Model -- 5. Variants of SOM -- 5.1 Overview of Ideas to Modify the Basic SOM -- 5.2 Adaptive Tensorial Weights -- 5.3 Tree-Structured SOM in Searching -- 5.4 Different Definitions of the Neighborhood -- 5.5 Neighborhoods in the
Signal Space -- 5.6 Dynamical Elements Added to the SOM -- 5.7 Operator Maps -- 5.8 Supervised SOM -- 5.9 The Adaptive-Subspace SOM (ASSOM) -- 5.10 Feedback-Controlled Adaptive-Subspace SOM (FASSOM) -- 6. Learning Vector Quantization
-- 6.1 Optimal Decision -- 6.2 The LVQ1 -- 6.3 The Optimized-Learning-Rate LVQ1 (OLVQ1) -- 6.4 The LVQ2 (LVQ2.1) -- 6.5 The LVQ3 -- 6.6 Differences Between LVQ1, LVQ2 and LVQ3 -- 6.7 General Considerations -- 6.8 The Hypermap-Type LVQ
-- 6.9 The “LVQ-SOM” -- 7. Applications -- 7.1 Preprocessing of Optic Patterns -- 7.2 Acoustic Preprocessing -- 7.3 Process and Machine Monitoring -- 7.4 Diagnosis of Speech Voicing -- 7.5 Transcription of Continuous Speech -- 7.6
Texture Analysis -- 7.7 Contextual Maps -- 7.8 Organization of Large Document Files -- 7.9 Robot-Arm Control -- 7.10 Telecommunications -- 7.11 The SOM as an Estimator -- 8. Hardware for SOM -- 8.1 An Analog Classifier Circuit -- 8.2
Fast Digital Classifier Circuits -- 8.3 SIMD Implementation of SOM -- 8.4 Transputer Implementation of SOM -- 8.5 Systolic-Array Implementation of SOM -- 8.6 The COKOS Chip -- 8.7 The TInMANN Chip -- 9. An Overview of SOM Literature --
9.1 General -- 9.2 Early Works on Competitive Learning -- 9.3 Status of the Mathematical Analyses -- 9.4 Survey of General Aspects of the SOM -- 9.5 Modifications and Analyses of LVQ -- 9.6 Survey of Diverse Applications of SOM -- 9.7
Applications of LVQ -- 9.8 Survey of SOM and LVQ Implementations -- 9.9 New References in the Second Edition -- 10. Glossary of “Neural” Terms -- References
ISBN:9783642979668
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 30
Keywords: Computer science , Neurosciences , Data mining , Artificial intelligence , Mathematics , Biophysics , Biological physics , Electrical engineering , Computer Science , Artificial Intelligence (incl. Robotics) , Data Mining and Knowledge Discovery , Neurosciences , Biophysics and Biological Physics , Communications Engineering, Networks , Mathematics, general
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Call number:SPRINGER-1997-9781475726275:ONLINE Show nearby items on shelf
Title:Bayesian Heuristic Approach to Discrete and Global Optimization Algorithms, Visualization, Software, and Applications
Author(s): Jonas Mockus
Date:1997
Size:1 online resource (397 p.)
Note:10.1007/978-1-4757-2627-5
Contents:I Bayesian Approach -- 1 Different Approaches to Numerical Techniques and Different Ways of Regarding Heuristics: Possibilities and Limitations -- 2 Information-Based Complexity (IBC) and the Bayesian Heuristic Approach -- 3
Mathematical Justification of the Bayesian Heuristics Approach -- II Global Optimization -- 4 Bayesian Approach to Continuous Global and Stochastic Optimization -- 5 Examples of Continuous Optimization -- 6 Long-Memory Processes and
Exchange Rate Forecasting -- 7 Optimization Problems in Simple Competitive Model -- III Networks Optimization -- 8 Application of Global Line-Search in the Optimization of Networks -- 9 Solving Differential Equations by Event- Driven
Techniques for Parameter Optimization -- 10 Optimization in Neural Networks -- IV Discrete Optimization -- 11 Bayesian Approach to Discrete Optimization -- 12 Examples of Discrete Optimization -- 13 Application of BHA to Mixed Integer
Nonlinear Programming (MINLP) -- V Batch Process Scheduling -- 14 Batch/Semi-Continuous Process Scheduling Using MRP Heuristics -- 15 Batch Process Scheduling Using Simulated Annealing -- 16 Genetic Algorithms for BATCH Process
Scheduling Using BHA and MILP Formulation -- VI Software for Global Optimization -- 17 Introduction to Global Optimization Software (GM) -- 18 Portable Fortran Library for Continuous Global Optimization -- 19 Software for Continuous
Global Optimization Using Unix C++ -- 20 Examples of Unix C++ Software Applications -- VII Visualization -- 21 Dynamic Visualization in Modeling and Optimization of Ill Defined Problems: Case Studies and Generalizations -- References
ISBN:9781475726275
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Nonconvex Optimization and Its Applications: 17
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Mathematical optimization , Combinatorics , Statistics , Mathematics , Combinatorics , Optimization , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Applications of Mathematics
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Call number:SPRINGER-1997-9781461334002:ONLINE Show nearby items on shelf
Title:Parallel Computing in Optimization
Author(s):
Date:1997
Size:1 online resource (588 p.)
Note:10.1007/978-1-4613-3400-2
Contents:1 Models for Parallel Algorithm Design: An Introduction -- 1 Introduction -- 2 Shared memory model: PRAM -- 3 Distributed memory models: DMM -- 4 The coarse grained multicomputer model: CGM -- 5 Summary -- 6 Exercises -- 2 Parallel
Algorithms and Complexity -- 1 Introduction -- 2 Models of Parallel Computers -- 3 Limits of Parallelism -- 4 Classification of some Important Graph Problems -- 5 Basic Techniques -- 6 Parallel Algorithms Toolbox -- 7 Approximating the
Minimum Degree Spanning Tree Problem -- 8 Exercises -- 3 A Programmer’s View of Parallel Computers -- 1 Introduction -- 2 The Memory Hierarchy -- 3 Communication Network -- 4 Future trends -- 5 Exercises -- 4 Scalable Parallel
Algorithms for Sparse Linear Systems -- 1 Introduction -- 2 Parallel Direct Cholesky Factorization -- 3 Multilevel Graph Partitioning -- 4 Exercises -- 5 Object Oriented Mathematical Modelling and Compilation to Parallel Code -- 1
Introduction -- 2 ObjectMath -- 3 Background to Parallel Code Generation -- 4 Definitions -- 5 Towards a Parallelising Compiler -- 6 Equation System Level -- 7 Equation Level -- 8 Clustered Task Level -- 9 Explicit Parallelism -- 10
Summary -- 11 Exercises -- 6 Parallel Algorithms for Network Problems -- 1 Introduction -- 2 Parallel processing paradigms -- 3 The shortest path problem -- 4 Linear problems over bipartite graphs -- 5 Convex problems over
singlecommodity networks -- 6 Convex problems over multicommodity networks -- 7 Exercises -- 7 Parallel Branch and Bound — Principles and Personal Experiences -- 1 Introduction -- 2 Sequential B&B -- 3 Parallel B&B -- 4 Personal
Experiences with GPP and QAP -- 5 Ideas and Pitfalls for Parallel B&B users -- 6 Exercises -- 8 Parallelized Heuristics for Combinatorial Search -- 1 Heuristics for Combinatorial Search -- 2 Local Search -- 3 Simulated Annealing -- 4
Tabu Search -- 5 Genetic Algorithms -- 6 Greedy Randomized Adaptive Search Procedures -- 7 Conclusions -- 8 Exercises -- 9 Parallel Cost Approximation Algorithms for Differentiable Optimization -- 1 Introduction -- 2 Sequential Cost
Approximation Algorithms -- 3 Synchronized Parallel Cost Approximation Algorithms -- 4 Partially Asynchronous Parallel Cost Approximation Algorithms -- 5 Concluding Remarks -- 6 Exercises -- 10 Parallel Computation of Variational
Inequalities and Projected Dynamical Systems with Applications -- 1 Introduction -- 2 The Variational Inequality Problem -- 3 Projected Dynamical Systems -- 4 Variational Inequality Applications -- 5 Projected Dynamical Systems
Applications -- 6 Summary and Conclusions -- 7 Exercises -- 11 Parallel Algorithms for Large-Scale Stochastic Programming -- 1 Introduction -- 2 Stochastic Programs with Recourse -- 3 Algorithmic Approaches -- 4 Algorithmic Comparisons
-- 5 Conclusions -- 6 Exercises -- 12 Parallel Continuous Non-Convex Optimization -- 1 Introduction -- 2 Local Search Heuristics -- 3 Deterministic and Stochastic Refinements of Local Search -- 4 Summary of General Principles for Local
Search Parallelization -- 5 Exact Methods: Deterministic Approaches -- 6 Exercises -- 13 Deterministic and Stochastic Logarithmic Barrier Function Methods for Neural Network Training -- 1 Introduction -- 2 Newton-type and Logarithmic
Barrier Methods -- 3 Application to Neural Network Training -- 4 Ill-Conditioning -- 5 Computational Results -- 6 Conclusions and Future Research -- 7 Exercises
ISBN:9781461334002
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 7
Keywords: Computer science , Microprocessors , Computers , Operations research , Management science , Economic theory , Computer Science , Theory of Computation , Processor Architectures , Operations Research, Management Science , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-1996-9789401154307:ONLINE Show nearby items on shelf
Title:Maximum Entropy and Bayesian Methods Santa Fe, New Mexico, U.S.A., 1995 Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods
Author(s):
Date:1996
Size:1 online resource (458 p.)
Note:10.1007/978-94-011-5430-7
Contents:Reconstruction of the Probability Density Function Implicit in Option Prices from Incomplete and Noisy Data -- Model Selection and Parameter Estimation for Exponential Signals -- Hierarchical Bayesian Time-Series Models -- Bayesian
time Series: Models and Computations for the Analysis of time Series in the Physical Sciences -- Maxent, Mathematics, and Information Theory -- Bayesian Estimation of the von Mises Concentration Parameter -- A Characterization of the
Dirichlet Distribution with Application to Learning Bayesian Networks -- The Bootstrap is Inconsistent with Probability Theory -- Data-Driven Priors for Hyperparameters in Regularization -- Mixture Modeling to Incorporate Meaningful
Constraints Into Learning -- Maximum Entropy (Maxent) Method in Expert Systems and Intelligent Control: new Possibilities and Limitations -- The De Finetti Transform -- Continuum Models for Bayesian Image Matching -- Mechanical Models
as Priors in Bayesian Tomographic Recontruction -- The Bayes Inference Engine -- A Full Bayesian Approach for Inverse Problem -- Pixon-Based Multiresolution Image Reconstruction and Quantification of Image Information Content --
Bayesian Multimodal Evidence Computation by Adaptive Tempering Mcmc -- Bayesian Inference and the Analytic Continuation of Imaginary-Time Quantum Monte Carlo Data -- Spectral Properties from Quantum Monte Carlo Data: a Consistent
Approach -- An Application of Maximum Entropy Method to Dynamical Correlation Functions at Zero Temperature -- Chebyshev Moment Problems: Maximum Entropy and Kernel Polynomial Methods -- Cluster Expansions and Iterative Scaling for
Maximum- Entropy Language Models -- A Maxent Tomography Method for Estimating fish Densities in a Commercial Fishery -- Toward Optimal Observer Performance of Detection and Discrimination Tasks on Reconstructions from Sparse Data --
Entropies for Dissipative Fluids and Magnetofluids Without Discretization -- On the Importance of a Marginalization in Maximum Entropy -- Quantum Mechanics as an Exotic Probability Theory -- Bayesian Parameter Estimation of
Nuclear-Fusion Confinement time Scaling Laws -- Hierarchical Segmentation of Range and Color Images Based on Bayesian Decision Theory -- Priors on Measures -- Determining Whether two Data Sets are from the Same Distribution -- Occam’s
Razor for Parametric Families and Priors on the Space of Distributions -- Skin and Maximum Entropy: a Hidden Complicity? -- Predicting the Accuracy of Bayes Classifiers -- Maximum Entropy Analysis of Genetic Algorithms -- Data Fusion
in the field of non Destructive Testing -- Dual Statistical Mechanical Theory for Unsupervised and Supervised Learning -- Complex Sinusoid Analysis by Bayesian Deconvolution of the Discrete Fourier Transform -- Statistical Mechanics of
Choice -- Rational Neural Models Based on Information Theory -- A new Entropy Measure with the Explicit Notion of Complexity -- Maximum Entropy States and Coherent Structures in Magnetohydrodynamics -- A Lognormal State of Knowledge --
Pixon-Based Multiresolution Image Reconstruction for Yohkoh’S Hard X-Ray Telescope -- Bayesian Methods for Interpreting Plutonium Urinalysis Data -- The Information Content of Sonar Echoes -- Objective Prior for Cosmological Parameters
-- Meal Estimation: Acceptable-Likelihood Extensions of Maxent -- On Curve Fitting with Two-Dimensional Uncertainties -- Bayesian Inference in Search for the in Vivo T2 Decay-Rate Distribution in Human Brain -- Bayesian Comparison of
fit Parameters: Application to Time-Resolved X-Ray Spectroscopy -- Edge Entropy and Visual Complexity -- Maximum Entropy Tomography -- Bayesian Regularization of Some Seismic Operators -- Multimodality Bayesian Algorithm for Image
Reconstruction in Positron Emission Tomography -- Evidence Integrals
ISBN:9789401154307
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application : 79
Keywords: Mathematics , Probabilities , Physics , Statistical physics , Dynamical systems , Statistics , Electrical engineering , Mathematics , Probability Theory and Stochastic Processes , Physics, general , Statistics, general , Statistical Physics, Dynamical Systems and Complexity , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Electrical Engineering
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Call number:SPRINGER-1996-9789400901070:ONLINE Show nearby items on shelf
Title:Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods
Author(s):
Date:1996
Size:1 online resource (323 p.)
Note:10.1007/978-94-009-0107-0
Contents:Applications -- Flow and diffusion images from Bayesian spectral analysis of motion-encoded NMR data -- Bayesian estimation of MR images from incomplete raw data -- Quantified maximum entropy and biological EPR spectra -- The vital
importance of prior information for the decomposition of ion scattering spectroscopy data -- Bayesian consideration of the tomography problem -- Using MaxEnt to determine nuclear level densities -- A fresh look at model selection in
inverse scattering -- The maximum entropy method in small-angle scattering -- Maximum entropy multi-resolution EM tomography by adaptive subdivision -- High resolution image construction from IRAS survey — parallelization and artifact
suppression -- Maximum entropy performance analysis of spread-spectrum multiple-access communications -- Noise analysis in optical fibre sensing: A study using the maximum entropy method -- Algorithms -- AutoClass — a Bayesian approach
to classification -- Evolution reviews of BayesCalc, a MATHEMATICA package for doing Bayesian calculations -- Bayesian inference for basis function selection in nonlinear system identification using genetic algorithms -- The meaning of
the word “Probability” -- The hard truth -- Are the samples doped — If so, how much? -- Confidence intervals from one observation -- Hypothesis refinement -- Bayesian density estimation -- Scale-invariant Markov models for Bayesian
inversion of linear inverse problems -- Foundations: Indifference, independence and MaxEnt -- The maximum entropy on the mean method, noise and sensitivity -- The maximum entropy algorithm applied to the two-dimensional random packing
problem -- Neural Networks -- Bayesian comparison of models for images -- Interpolation models with multiple hyperparameters -- Density networks and their application to protein modelling -- The cluster expansion: A hierarchical
density model -- The partitioned mixture distribution: Multiple overlapping density models -- Physics -- Generating functional for the BBGKY hierarchy and the N-identical-body problem -- Entropies for continua: Fluids and magnetofluids
-- A logical foundation for real thermodynamics
ISBN:9789400901070
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application : 70
Keywords: Mathematics , Analytical chemistry , Probabilities , Statistical physics , Dynamical systems , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistical Physics, Dynamical Systems and Complexity , Analytical Chemistry , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-1996-9783642800986:ONLINE Show nearby items on shelf
Title:Data Analysis and Information Systems Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8–10, 1995
Author(s):
Date:1996
Size:1 online resource (548 p.)
Note:10.1007/978-3-642-80098-6
Contents:Section 1: Classification and Clustering -- MDL for Mixtures of Normal Distributions -- A New Algorithm for Two-Mode Clustering -- Computational Methods in Clustering from a Mathematical Programming Viewpoint -- Classification of Time
Series with Optimized Time-Frequency Representations -- Cluster Analysis Using Spatial Autocorrelation -- Bounds for p-values of Combinatorial Tests for Clustering in Epidemiology -- Probability Distributions on Indexed Dendrograms and
Related Problems of Classifiability -- On the Validation of Classification Trees -- Section 2: Uncertainty and Fuzziness -- Modeling Weak Information with Generalized Basic Probability Assignments -- Validity Measures for Fuzzy
Partitions -- Uncertainty and Actor-Oriented Information Retrieval in µ-AKCESS. An Approach Based on Fuzzy Set Theory -- The “Combination Problem” for Probability Intervals: Necessary Assumptions -- A Classification System for
Uncertainty Theories: How to Select an Appropriate Formalism? -- Section 3: Methods of Data Analysis and Applications -- Analyzing Paired Comparisons Data Using Probabilistic Ideal Point Models and Probabilistic Vector Models --
Consensus Rules for Molecular Sequences: Open Problems -- Latent Dimensions of Managers’ Risk Perception: An Application of Correspondence Analysis -- Analysis of the Behaviour of New Car Buyers -- Statistical Analysis of Spatial Data
in Geographic Information Systems -- Analysis of Spatio-Temporal Data Using Interactive Statistical Graphics -- Representation of Finite Ordinal Data in Real Vector Spaces -- Section 4: Statistical Models and Methods -- Statistical
Models and Artificial Neural Networks -- Smoothing for Categorical Data: Discrete Kernel Regression and Local Likelihood Approaches -- Computer-based Design of Experiments in Industry -- Testing Simple Hypotheses -- Section 5: Bayesian
Learning -- Bayesian Hierarchical Models for Random Routes in Finite Populations -- Metropolis Sampling in Bilinear Time Series Models -- Exact Likelihood Function Forms for an ARFIMA Process -- Learning about Degradation Models and
Prognostic Factors -- Bayesian Classification Using Predictive Diagnostic Measures -- Section 6: Conceptual Classification, Knowledge Ordering and Information Systems -- On the Relationship between Description Logics and Conceptual
Graphs with some References to the Medical Domain -- The Design of an Interpreter for Dialog-Controlled Rule Systems -- Conceptual Classifications and Nomenclatures in Medicine -- A Method for the Detection of Sources in the Logic
Information System LIS -- Two Conceptual Approaches to Acquire Human Expert Knowledge in a Complex Real World Domain -- Terminology and Knowledge Representation in Complex Domains -- Knowledge Spaces and Formal Concept Analysis -- A
Deductive Approach for Knowledge Base Refinement in Expert Systems and its Application to Credit Analysis -- Knowledge Representation of Pathological States -- Attribute Exploration with Background Implications and Exceptions --
Integrating an OR Model Base into a Knowledge-Based System for Marketing Data Analysis -- LIS/THESAURUS: A Model for Structuring and Representing Concepts of Mathematical Logic -- Section 7: Linguistics and Dialectometry -- Gender
Classification of German Nouns: Symbolic and Sub-Symbolic Approaches -- Automatic Inference of DATR Theories -- Probability Distributions of Polysemantic Expressions -- German Dialectometry -- Subject Index (including List of Authors)
ISBN:9783642800986
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Probabilities , Biomathematics , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Mathematics of Computing , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Physiological, Cellular and Medical Topics , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1996-9781461207450:ONLINE Show nearby items on shelf
Title:Bayesian Learning for Neural Networks
Author(s): Radford M Neal
Date:1996
Size:1 online resource (204 p.)
Note:10.1007/978-1-4612-0745-0
Contents:1 Introduction -- 1.1 Bayesian and frequentist views of learning -- 1.2 Bayesian neural networks -- 1.3 Markov chain Monte Carlo methods -- 1.4 Outline of the remainder of the book -- 2 Priors for Infinite Networks -- 2.1 Priors
converging to Gaussian processes -- 2.2 Priors converging to non-Gaussian stable processes -- 2.3 Priors for nets with more than one hidden layer -- 2.4 Hierarchical models -- 3 Monte Carlo Implementation -- 3.1 The hybrid Monte Carlo
algorithm -- 3.2 An implementation of Bayesian neural network learning -- 3.3 A demonstration of the hybrid Monte Carlo implementation -- 3.4 Comparison of hybrid Monte Carlo with other methods -- 3.5 Variants of hybrid Monte Carlo --
4 Evaluation of Neural Network Models -- 4.1 Network architectures, priors, and training procedures -- 4.2 Tests of the behaviour of large networks -- 4.3 Tests of Automatic Relevance Determination -- 4.4 Tests of Bayesian models on
real data sets -- 5 Conclusions and Further Work -- 5.1 Priors for complex models -- 5.2 Hierarchical Models — ARD and beyond -- 5.3 Implementation using hybrid Monte Carlo -- 5.4 Evaluating performance on realistic problems -- A
Details of the Implementation -- A.1 Specifications -- A.1.1 Network architecture -- A.1.2 Data models -- A.1.3 Prior distributions for parameters and hyperparameters -- A.1.4 Scaling of priors -- A.2 Conditional distributions for
hyperparameters -- A.2.1 Lowest-level conditional distributions -- A.2.2 Higher-level conditional distributions -- A.3 Calculation of derivatives -- A.3.1 Derivatives of the log prior density -- A.3.2 Log likelihood derivatives with
respect to unit values -- A.3.3 Log likelihood derivatives with respect to parameters -- A.4 Heuristic choice of stepsizes -- A.5 Rejection sampling from the prior -- B Obtaining the software
ISBN:9781461207450
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Statistics: 118
Keywords: Mathematics , Artificial intelligence , Computer simulation , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Artificial Intelligence (incl. Robotics) , Simulation and Modeling
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Call number:SPRINGER-1995-9783642975226:ONLINE Show nearby items on shelf
Title:Image Analysis, Random Fields and Dynamic Monte Carlo Methods A Mathematical Introduction
Author(s): Gerhard Winkler
Date:1995
Size:1 online resource (324 p.)
Note:10.1007/978-3-642-97522-6
Contents:I. Bayesian Image Analysis: Introduction -- 1. The Bayesian Paradigm -- 2. Cleaning Dirty Pictures -- 3. Random Fields -- II. The Gibbs Sampler and Simulated Annealing -- 4. Markov Chains: Limit Theorems -- 5. Sampling and Annealing
-- 6. Cooling Schedules -- 7. Sampling and Annealing Revisited -- III. More on Sampling and Annealing -- 8. Metropolis Algorithms -- 9. Alternative Approaches -- 10. Parallel Algorithms -- IV. Texture Analysis -- 11. Partitioning --
12. Texture Models and Classification -- V. Parameter Estimation -- 13. Maximum Likelihood Estimators -- 14. Spacial ML Estimation -- VI. Supplement -- 15. A Glance at Neural Networks -- 16. Mixed Applications -- VII. Appendix -- A.
Simulation of Random Variables -- B. The Perron-Frobenius Theorem -- C. Concave Functions -- D. A Global Convergence Theorem for Descent Algorithms -- References
ISBN:9783642975226
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applications of Mathematics, Stochastic Modelling and Applied Probability: 27
Keywords: Mathematics , Radiology , Software engineering , Computer simulation , Pattern recognition , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Pattern Recognition , Simulation and Modeling , Imaging / Radiology , Software Engineering/Programming and Operating Systems , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-1995-9783642577604:ONLINE Show nearby items on shelf
Title:Neural Networks An Introduction
Author(s): Berndt Müller
Date:1995
Size:1 online resource (331 p.)
Note:10.1007/978-3-642-57760-4
Contents:1. The Structure of the Central Nervous System -- 2. Neural Networks Introduced -- 3. Associative Memory -- 4. Stochastic Neurons -- 5. Cybernetic Networks -- 6. Multilayered Perceptrons -- 7. Applications -- 8. More Applications of
Neural Networks -- 9. Network Architecture and Generalization -- 10. Associative Memory: Advanced Learning Strategies -- 11. Combinatorial Optimization -- 12. VLSI and Neural Networks -- 13. Symmetrical Networks with Hidden Neurons --
14. Coupled Neural Networks -- 15. Unsupervised Learning -- 16. Evolutionary Algorithms for Learning -- 17. Statistical Physics and Spin Glasses -- 18. The Hopfield Network for p/N’ 0 -- 19. The Hopfield Network for Finite p/N -- 20.
The Space of Interactions in Neural Networks -- 21. Numerical Demonstrations -- 22. ASSO: Associative Memory -- 23. ASSCOUNT: Associative Memory for Time Sequences -- 24. PERBOOL: Learning Boolean Functions with Back-Prop -- 25.
PERFUNC: Learning Continuous Functions with Back-Prop -- 26. Solution of the Traveling-Salesman Problem -- 27. KOHOMAP: The Kohonen Self-organizing Map -- 28. btt: Back-Propagation Through Time -- 29. NEUROGEN: Using Genetic Algorithms
to Train Networks -- References
ISBN:9783642577604
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Neurosciences , Artificial intelligence , Statistical physics , Dynamical systems , Computer Science , Artificial Intelligence (incl. Robotics) , Statistical Physics, Dynamical Systems and Complexity , Neurosciences
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Call number:SPRINGER-1995-9780585280004:ONLINE Show nearby items on shelf
Title:Fuzzy Logic and Intelligent Systems
Author(s):
Date:1995
Size:1 online resource (450 p.)
Note:10.1007/b102307
Contents:Improvement of Fuzzy Control Methods -- Neural Networks and Fuzzy Basis Functions for Functional Approximation -- Ordering Fuzzy Real Quantities -- Fuzzy Logic Controllers for Aircraft Flight Control -- A Classical Controller: A
Special Case of The Fuzzy Logic Controller -- Real Time Fuzzy Logic Controller for Balancing a Beam-and-Ball System -- Design of Fuzzy Controllers Based on Frequency And Transient Characteristics -- Fuzzy Inference Integrating 3D
Measuring System with Adaptive Sensing Strategy -- Robot Hand-Eye Coordination Based on Fuzzy Logic -- Using FPGA Technique for Design and Implementation of a fuzzy Inference System -- An Empirical Analysis of One Type of Direct
Adaptive Fuzzy Control -- Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming -- Intelligent Control Using Dynamic Neural Networks with Robotic Applications -- Camcorder Operation
Judgement Using a Neural Computing Approach -- Model Reduction and Control of Multistage Flash (MSF) Desalinization Plants
ISBN:9780585280004
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Series in Intelligent Technologies: 3
Keywords: Mathematics , Operations research , Decision making , Computer science , Artificial intelligence , Mathematical logic , Mathematics , Mathematical Logic and Foundations , Artificial Intelligence (incl. Robotics) , Operation Research/Decision Theory , Computer Science, general
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Call number:SPRINGER-1994-9789401710053:ONLINE Show nearby items on shelf
Title:Cellular Automata, Dynamical Systems and Neural Networks
Author(s):
Date:1994
Size:1 online resource (192 p.)
Note:10.1007/978-94-017-1005-3
Contents:Cellular Automata and Transducers. A Topological View -- Automata Network Models of Interacting Populations -- Entropy, Pressure and Large Deviation -- Formal Neural Networks: from Supervised to Unsupervised Learning -- Storage of
Correlated Patterns in Neural Networks
ISBN:9789401710053
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics and Its Applications : 282
Keywords: Physics , Computers , Computer science , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity , Theory of Computation , Discrete Mathematics in Computer Science
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Call number:SPRINGER-1994-9783642468087:ONLINE Show nearby items on shelf
Title:Information Systems and Data Analysis Prospects — Foundations — Applications
Author(s):
Date:1994
Size:1 online resource (463 p.)
Note:10.1007/978-3-642-46808-7
Contents:I: Information Processing, Classification-Based Approaches, Linguistic and Conceptual Analysis -- Learning and Case-Based Reasoning -- Induction and Case-Based Reasoning for Classification Tasks -- Symbolic Learning and
Nearest-Neighbor Classification -- Nonstandard Concepts of Similarity in Case-Based Reasoning -- Learning from Cases for Classification Problem Solving -- Approaches Based on Linguistic Analysis -- Methods of Phoneticizing in Regard to
Spelling Variants of Medical Phrases -- Disambiguating Lexical Meaning: Conceptual meta-modelling as a means of controlling semantic language analysis -- Information Retrieval Using Conceptual Representations of Phrases -- Information
Processing and Design of Information Systems -- Communication in Distributed Heterogenous Systems -- Prerequisites and Development Perspectives for Information Processing in the Social Sciences -- Aspects of Coupling Logic Programming
and Databases -- Processing Scientific Networks in Bibliographic Databases -- Object-Oriented Systems Analysis Applied to the Method Component of a Knowledge-Based System for Data Analysis -- Classification Based Query Evaluation in
Knowledge Base Systems -- Uncertainity and Neural Networks -- Neural Networks: Architectures, Learning and Performance -- Reasoning with Uncertainty in Diagnostic Systems -- Conceptual Approaches -- Der klassische und der moderne
Begriff des Begriffs. Gedanken zur Geschichte der Begriffsbildung in den exakten Wissenschaften -- Ideas of Algebraic Concept Analysis -- Conceptual Structures in Mathematical Logic and Their Formal Representation -- II: Mathematical
and Statistical Methods for Classification and Data Analysis -- Clustering and Discrimination -- Three-Mode Hierarchical Cluster Analysis of Three-Way Three-Mode Data -- The Testing of Data Structures with Graph-Theoretical Models --
Geometric Approach to Evaluating Probabilities of Correct Classification into two Gaussian or Spherical Categories -- Jackknife Estimates of Similarity Coefficients Obtained from Quadrat Sampling of Species -- Clustering Techniques in
the Computing Environment XploRe -- On the Application of Discriminant Analysis in Medical Diagnostics -- Similarity Searching in Databases of Three-Dimensional Chemical Structures -- Feature Generation and Classification of Time
Series -- Data Analysis Methods -- TRIPAT: a Model for Analyzing Three-Mode Binary Data -- Block-relaxation Algorithms in Statistics -- Multidimensional Scaling with lp-Distances, a Unifying Approach -- Universal Optimality of Rank
Constrained Matrix Approximation -- The Analysis of Spatial Data from Marine Ecosystems -- Automatic Decomposition of Lattice Data including Missing Values and Boundaries -- III: Genome and Molecular Sequence Analysis -- Classification
and Data Analysis in Genome Projects: Some Aspects of Mapping, Alignment and Tree Reconstruction -- Multiple Alignment of Protein Sequences and Construction of Evolutionary Trees based on Amino Acid Properties — an Algebraic Approach
-- How to Deal With Third Codon Positions in Phylogenetic Analysis -- Machine Learning for Protein Structure Prediction -- A Parallel-Processor Implementation of an Algorithm to Delineate Distantly Related Protein Sequences using
Conserved Motifs and Neural Networks -- IV: Applied Data Analysis in Special Fields -- Economy and Marketing -- Knowledge-Based Selection and Application of Quantitative Models of Consumer Behavior -- Goodwill towards Domestic Products
as Segmentation Criterion: An Empirical Study within the Scope of Research on Country-of-Origin Effects -- Archeology -- Merovingian Glass Beads: An Essay of Classification -- Screening in Medicine -- Statistical Measures to Quantify
the Benefit from Screening: a Case Study on Cholesterol Screening -- Evaluation of Screening in Case-Control Studies: an Alternative to Randomized Controlled Trials? -- List of Authors
ISBN:9783642468087
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Health informatics , Computer science , Bioinformatics , Computational biology , Probabilities , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Mathematics of Computing , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Health Informatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-1994-9781461570127:ONLINE Show nearby items on shelf
Title:Fractals in Science An Introductory Course
Author(s): Pilot Edition
Date:1994
Size:1 online resource (320 p.)
Note:10.1007/978-1-4615-7012-7
Contents:1. From Coin Flipping to Motion of Molecules -- 1.1 Introduction -- 1.2. Randomness: Making Predictions Even When No One Knows What Will Happen Next -- 1.3. How Often Something Happens (Probability Distributions) -- 1.4 Random
Movement (Random Walks) -- 1.5 Pascal’s Triangle -- 1.6 Average Displacement and Average Squared Displacement -- 1.7 Diffusion -- 1.8 Periodic Precipitation: Liesegang Rings -- 1.9 Postlude: The Meaning of Models -- Appendix A
Demonstration that Average Squared Displacement Is Equal to Number of Steps Taken -- Appendix B. Preparation for Liesegang Ring Experiment -- 2. Fractals in Nature. Growing and Measuring Random Fractals -- 2.1 Introduction -- 2.2.
Coastline -- 2.3. The Meaning of Dimension -- 2.4. Growing Random Patterns -- 2.5. Computer Measurement of Fractal Dimension -- 2.6. Modeling the Growth of a Fractal Pattern -- 2.7. The Hele-Shaw Experiment -- 2.8 Branching Patterns
Formed by Bacterial Colonies -- 2.9 Termite Nesting and Foraging in Two Dimensions -- 2.10 Fractal Root Systems -- 2.11. Research! -- Appendix A. Dimensions and Logarithms -- Appendix B. Construction of ECD and Hele-Shaw Cells --
Appendix C. Using Video Frame Grabbing -- Appendix D. Using the Scanner for Imaging -- Appendix E. Preparing the Carrageenan Solutions -- Appendix F. Using the Vernier pH Meter -- Appendix G. Preparation of Bacterial Growth Experiment
-- Appendix H. Constructing the Cell for a Termite Colony -- Appendix I. Constructing Rhizotron for Root Systems -- 3. Growth Patterns in Nature: Percolation -- 3.1 Growing a Forest -- 3.2 Burning a Forest -- 4 DNA and Literature --
4.1 DNA Sequences -- 4.2 Storing Information in DNA -- 4.3 Word Occurences and Zipf’s Law -- 4.4 Landscapes of Literature and DNA -- 4.5 Discover coding regions in DNA -- A Answers to problems. -- B Log-Log-paper -- C This and That --
5 Spin Glasses and Neural Networks -- 5.1 Introduction -- 5.2 Magnetic Order -- 5.3 Ising Model -- 5.4 Magnetic Disorder -- 5.5 Spin Glasses -- 5.6 Hopfield Model -- 5.7 Bibliography -- 6 Lightning and Soap Films -- 6.1 Introduction --
6.2 Electric Field -- 6.3 Electrostatics -- 6.4 Laplace Equation -- 6.5 Numerical Approach to our Main Task -- 6.6 Fractal Growth -- 6.7 Bibliography -- 7 Analyzing Rough Surfaces Digitally -- 7.1 Introduction -- 7.2 Defining the
Self-Affine Surface -- 7.3 Activity: The Paper Tear Experiment -- 7.4 The Paper Tear: Understanding Experiments with Models -- 7.5 Testing the Minimal Energy Model -- 7.6 Conclusion
ISBN:9781461570127
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Dynamics , Ergodic theory , Geometry , Mathematical physics , Statistical physics , Dynamical systems , Mathematics , Geometry , Mathematical Physics , Dynamical Systems and Ergodic Theory , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-1994-9781461527701:ONLINE Show nearby items on shelf
Title:Applied Research in Fuzzy Technology Three years of research at the Laboratory for International Fuzzy Engineering (LIFE), Yokohama, Japan
Author(s):
Date:1994
Size:1 online resource (457 p.)
Note:10.1007/978-1-4615-2770-1
Contents:1. Future Vision of Fuzzy Engineering -- 2. Decision Support System -- 2. 1 What is a decision support system ? - A case study of a foreign exchange dealing support expert system - -- 2. 2 Condition recognition in the decision support
system -- 2. 3 Fuzzy evaluation and decision making in the decision support system -- 2. 4 Foreign exchange dealing supporting expert system - FOREX- -- 2.5 Prospects for the future -- References -- 3. Intelligent Plant Operation
Support -- 3. 1 Functions desired for plant operation support -- 3. 2 Operation support system and background technologies -- 3. 3 Simulation by the simplified model -- 3. 4 Summary and prospects -- References -- 4. Fuzzy Modeling and
Process Control System Design -- 4. 1 Subject for process control -- 4. 2 Fuzzy modeling of processes -- 4. 3 Control system design using a fuzzy model -- 4. 4 Application examples -- 4. 5 Epilogue -- References -- 5. Inference
Function for Understanding Linguistic Instructions -- 5. 1 Linguistic fuzziness and inference -- 5. 2 Understanding linguistic instructions using rule based inference -- 5. 3 Understanding of linguistic instruction through case-based
reasoning -- 5. 4 Cooperation of case-based reasoning and rule-based reasoning -- References -- 6. Fuzzy Theory in an Image Understanding Retrieval System -- 6. 1 Approach to image understanding in LIFE -- 6. 2 Recognition of face
features based on a recognition model -- 6. 3 Facial image retrieval system -- 6. 4 Conclusion -- References -- 7. Research into Intelligent Behavior Decision Making of Robots -- 7. 1 Ambiguities in Intelligent Robots -- 7. 2 An
Autonomous Mobile Robot System with Effective Decision Processes for Ambiguous States -- 7. 3 Macro Planning Section - Intelligent Path Planning Methods Based on Ambiguous Information - -- 7. 4 Macro Sensing Part - Hierarchical Sensor
Fusion System for Living Object Recognition - -- 7. 5 Macro Behavior-Decision Part - Behavior and Decisions Fuzzy Algorithm Tunedaccording to the Control Purpose - -- 7. 6 Robot System for Actual Evaluation -- 7. 7 Conclusion --
References -- 8. Fuzzy Neural Net System -- 8. 1 What is Fuzzy Neural Net? -- 8.2 Fuzzy Associative Inference and Fuzzy Knowledge Recursive Learning -- 8. 3 Intellectual Interface through Fuzzy Neural net -- 8. 4 On-Line Learning using
Fuzzy Neural Networks -- 8. 5 Future Development of Fuzzy Neural Networks -- References -- 9. Fuzzy Expert System Shell - LIFE FEShell - -- 9. 1 Introduction -- 9. 2 System Configuration -- 9. 3 Fuzzy Production System: FPS -- 9. 4
Fuzzy Frame System: FFS -- 9. 5 Object Editor. OE -- 9. 6 Summary and Problems to be Solved in the Future -- References -- 10. The Fuzzy Computer -- 10. 1 What is a fuzzy computer? -- 10. 2 The architecture of a fuzzy computer
prototype system -- 10. 3 The fuzzy object-oriented language -- 10. 4 The fuzzy computer prototype system -- l0. 5 Conclusions -- References
ISBN:9781461527701
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Series in Intelligent Technologies: 1
Keywords: Mathematics , Artificial intelligence , Mathematical logic , Operations research , Management science , Statistical physics , Dynamical systems , Mathematics , Mathematical Logic and Foundations , Artificial Intelligence (incl. Robotics) , Statistical Physics, Dynamical Systems and Complexity , Operations Research, Management Science
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Call number:SPRINGER-1993-9789401116916:ONLINE Show nearby items on shelf
Title:Cellular Automata and Cooperative Systems
Author(s):
Date:1993
Size:1 online resource (546 p.)
Note:10.1007/978-94-011-1691-6
Contents:Complexity of Infinite Sequences and the Ising Transducer -- Renormalization Group Analysis of Directed Models -- Maximal Lyapunov Exponent for 1D Boolean Cellular Automata -- Automata Network Epidemic Models -- Structure Evolution of
Neural Networks -- Lower Bounds on the Memory Capacity of the Dilute Hopfield Model -- Schrödinger Operators with Substitution Potentials -- An Interplay Between Local and Global Dynamics in Biological Networks: the Case of Genetic
Sequences -- How to Fire almost any Arbitrary Pattern on a Cellular Automaton -- Dynamics of Random Neural Nets -- A Matrix Method of Solving an Asymmetric Exclusion Model with Open Boundaries -- A Formula of full Semiinvariants --
Non-Gibbsian States for Renormalization-Group Transformations and Beyond -- Fluctuations in the Asymmetric Simple Exclusion Process -- Analysis of a Network Model -- Drift and Diffusion in Phase Space. An Application to Celestial
Mechanics -- Real Computation with Cellular Automata -- Lyapunov Functionals Associated to Automata -- Sand-Pile Dynamics in a One-Dimensional Bounded Lattice -- Differential Inequalities for Potts and Random-Cluster Processes --
Cryptography with Dynamical Systems -- On Entropic Repulsion in Low Temperature Ising Models -- The Distribution of Lyapunov Exponents for Large Random Matrices -- Transience and Dislocations in One-Dimensional Cellular Automata --
Properties of Limit Sets of Cellular Automata -- Stochastic Equations on Random Trees -- The Branching Diffusion, Stochastic Equations and Travelling Wave Solutions to the Equation of Kolmogorov — Petrovskii — Piskunov -- Spin Models
with Random Interactions: Some Rigorous Results -- Low Temperature Phase Transitions on Quasiperiodic Lattices -- Stability of Interfaces in Stochastic Media -- Hydrodynamic Equation for Mean Zero Asymmetric Zero Range Processes --
Clustering and Coexistence in Threshold Voter Models -- Analytical Results for the Maximal Lyapunov Exponent -- Some Remarks on Almost Gibbs States -- Some Coded Systems that are Not Unstable Limit Sets of Cellular Automata --
Constructive Criteria for the Ergodicity of Interacting Particle Systems -- Self-Similar Fractals Can be Generated by Cellular Automata -- Finite Volume Mixing Conditions for Lattice Spin Systems and Exponential Approach to Equilibrium
of Glauber Dynamics -- Quasi-Stationary Distributions for Birth-Death Chains. Convergence Radii and Yaglom Limit -- Cooperative Phenomena in Swarms -- Comparison of Semi-Oriented Bootstrap Percolation Models with Modified Bootstrap
Percolation -- Chaotic Size Dependence in Spin Glasses -- On the Gibbs States for One-Dimensional Lattice Boson Systems with a Long-Range Interaction -- Hydrodynamic Limits and Ergodicity for Hamiltonian System with Small Noise --
Relaxation Times for Stochastic Ising Models in the Limit of Vanishing External Field at Fixed Low Temperatures
ISBN:9789401116916
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO ASI Series, Series C: Mathematical and Physical Sciences: 396
Keywords: Mathematics , Computers , Computer science , Mathematical logic , Physics , Statistical physics , Dynamical systems , Mathematics , Mathematical Logic and Foundations , Physics, general , Discrete Mathematics in Computer Science , Theory of Computation , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-1993-9783642509742:ONLINE Show nearby items on shelf
Title:Information and Classification Concepts, Methods and Applications Proceedings of the 16th Annual Conference of the “Gesellschaft für Klassifikation e.V.” University of Dortmund, April 1–3, 1992
Author(s):
Date:1993
Size:1 online resource (517 p.)
Note:10.1007/978-3-642-50974-2
Contents:I: Data Analysis and Classification -- Classification Methods -- Hierarchical Clustering of Sampled Functions -- Spatial Clustering of Species Based on Quadrat Sampling -- A kn-Nearest Neighbour Algorithm for Unimodal Clusters --
Asymptotic Robustness in Cluster-Analysis for the Case of Tukey-Huber Distortions -- Choosing the Number of Component Clusters in the Mixture-Model Using a New Informational Complexity Criterion of the Inverse-Fisher Information Matrix
-- Fuzzy Classification -- Fuzzy Sets and Fuzzy Partitions -- Fuzzy Clustering by Minimizing the Total Hypervolume -- Conceptual Analysis -- Conceptual Data Systems -- Conceptual Clustering via Convex-Ordinal Structures -- Diagrams of
Similarity Lattices -- Approximate Galois Lattices of Formal Concepts -- Representation of Data by Pseudoline Arrangements -- Mathematical Characterizations -- A Relational Approach to Split Decomposition -- Some New Useful
Representations of Dissimilarities in Mathematical Classification -- Multidimensional Scaling -- A Comparison of Two Methods for Global Optimization in Multidimensional Scaling -- Directional Analysis of Three-Way Skew-Symmetric
Matrices -- Clustering in Low-Dimensional Space -- The Construction of Neighbour-Regions in Two Dimensions for Prediction with Multi-Level Categorical Variables -- Different Geometric Approaches to Correspondence Analysis of
Multivariate Data -- Nonlinear Biplots for Nonlinear Mappings -- Various Methods for Data Analysis -- Gradient Filtering Projections for Recovering Structures in Multivariate Data -- Classification with Set-Valued Decision Functions --
Canonical Discriminant Analysis: Comparison of Resampling Methods and Convex-Hull Approximation -- Nonparametric Prediction of Time Series on the Basis of Typical Course Patterns -- Moving Point Patterns: The Poisson Case -- II:
Information Retrieval, Knowledge Processing and Software -- Information Retrieval -- Representations, Models and Abstractions in Probabilistic Information Retrieval -- Fuzzy Graphs as a Basic Tool for Agglomerative Clustering and
Information Retrieval -- The Various Roles of Information Structures -- Neural Networks -- Classification Properties of Communicating Neural Networks -- Knowledge Extraction from Self-Organizing Neural Networks -- Self-Organizing
Neural Networks for Visualisation and Classification -- Expert Systems and Knowledge Processing -- HyDi: Integration of Hypermedia and Expert System Technology for Technical Diagnosis -- Classification and Learning of Similarity
Measures -- Context Sensitive Knowledge Processing -- An Efficient Application of a Rule-Based System -- Computational Linguistics -- Acquisition of Syntactical Knowledge from Text -- Generating Topic-Based Links in a Hypertext-System
for News -- Software -- Interactively Displaying Ultrametric and Additive Trees -- Anaglyphen 3D — A Program for the Interactive Representation of Three-Dimensional Perspective Plots of Statistical Data -- III: Applications and Special
Topics -- Sequence Data and Tree Reconstruction -- Discovering Consensus Molecular Sequences -- Alignment and Hierarchical Clustering Method for Strings -- More Reliable Phylogenies by Properly Weighted Nucleotide Substitutions --
Caminalcules and Didaktozoa: Imaginary Organisms as Test-Examples for Systematics -- Data Analysis and Informatics in Medicine -- Multivariate Analysis of the Process of Acclimation of Physiologic Variables -- Classification of EEG
Signals into General Stages of Anesthesia in Real-Time Using Autoregressive Models -- Automatic Segmentation and Classification of Multiparametric Image Data in Medicine -- Pseudoroots as Descriptors for a Thesaurus Based on Weidtman’s
Diagnosis Table of Pediatrics -- Special Topics - Thesauri, Archaeology, Musical Science and Psychometrics -- An Approach to a Space Related Thesaurus -- Classification of Archaeological Sands by Particle Size Analysis -- The Analysis
of Stratigraphic Data with Particular Reference to Zonation Problems -- Classification Criterion and the Universals in the Organization of a Musical Text -- A Two-Mode Clustering Study of Situations and Their Features
ISBN:9783642509742
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Health informatics , Bioinformatics , Computational biology , Probabilities , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Probability Theory and Stochastic Processes , Statistics, general , Health Informatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-1992-9789401722193:ONLINE Show nearby items on shelf
Title:Maximum Entropy and Bayesian Methods Seattle, 1991
Author(s):
Date:1992
Size:1 online resource (474 p.)
Note:10.1007/978-94-017-2219-3
Contents:The Gibbs Paradox -- Bayesian Solution of Ordinary Differential Equations -- Bayesian Interpolation -- Estimating the Ratio of Two Amplitudes in Nuclear Magnetic Resonance Data -- A Bayesian Method for the Detection of a Periodic
Signal of Unknown Shape and Period -- Linking the Plausible and Demonstrative Inferences -- Dimensional Analysis in Data Modeling -- Entropies of Likelihood Functions -- Maximum Likelihood Estimation of the Lagrange Parameters of the
Maximum Entropy Distributions -- Entropy of Form and Hierarchic Organization -- A Bayesian Looks at the Anthropic Principle -- The Evidence for Neutral Networks -- Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy
Regularization -- Bayesian Mixture Modeling -- Point-Process Theory and the Surveillance of Many Objects -- A Matlab Program to Calculate the Maximum Entropy Distributions -- Memsys as Debugger -- Entropy and Sunspots: Their Bearing on
Time-Series -- Basic Concepts in Multisensor Data Fusion -- Combining Data from Different Experiments: Bayesian Analysis and Meta-Analysis -- Modelling Drug Behaviour in the Body with Maxent -- Information Entropy and Dose-Response
Functions for Risk Analysis -- Making Binary Decisions Based on the Posterior Probability Distribution Associated with Tomographic Reconstructions -- The Application of Maxent to Electrospray Mass Spectrometry -- The Application of
Maxent to Electron Microscopy -- The Inference of Physical Phenomena in Chemistry: Abstract Tomography, Gedanken Experiments, and Surprisal Analysis -- The Maximum Entropy Reconstruction of Patterson and Fourier Densities in
Orientationally Disordered Molecular Crystals: A Systematic Test for Crystallographic Interpolation Models -- On a Bayesian Approach to Coherent Radar Imaging -- Application of Maximum Entropy to Radio Imaging of Geological Features --
Deterministic Signals in Height of Sea Level Worldwide -- The Grand Canonical Sampler for Bayesian Integration -- Recent Developments in Information-Theoretic Statistical Analysis -- Murphy’s Law and Noninformative Priors -- A
Scientific Concept of Probability -- Bayesian Logic and Statistical Mechanics — Illustrated by a Quantum Spin 1/2 Ensemble
ISBN:9789401722193
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application : 50
Keywords: Computer science , Analytical chemistry , Economic geology , Image processing , Statistics , Computer Science , Image Processing and Computer Vision , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Economic Geology , Analytical Chemistry
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Call number:SPRINGER-1992-9789401127912:ONLINE Show nearby items on shelf
Title:Probabilistic and Stochastic Methods in Analysis, with Applications
Author(s):
Date:1992
Size:1 online resource (699 p.)
Note:10.1007/978-94-011-2791-2
Contents:I Wavelets and fractals -- Wavelets and analysis of partial differential equations -- Methods of solving dilation equations -- Characterization of singularities -- Complex analysis and frames in sampling theory -- Stationary frames
and spectral estimation -- Density of fuzzy attractors: A step towards the solution of the inverse problem for fractals and other sets -- Multifractal measures -- Applications of Gabor and wavelet expansions to the Radon transform --
Normal numbers and dynamical systems -- Linear and non-linear decomposition of images using Gabor wavelets -- Multiresolution analyses, tiles, and scaling functions -- II Applications in engineering -- Innovations and entropy rate with
applications in factorization, spectral estimation, and prediction -- Generation of accurate broadband information from narrowband data using the Cauchy method -- Infinite divisibility and the identification of singular waveforms --
Certain results on spatiotemporal random fields and their applications in environmental research -- Sharp results on irregular sampling of bandlimited functions -- Some recent results on the sampling theorem -- Spectral analysis of
random fields with random sampling -- Application of probabilistic and self-organising neural networks in pattern recognition: a tutorial paper -- Quantum holography and neurocomputer architectures -- Random surface geometries with
applications to image processing -- III Applications in mathematics & computer science -- Some continuations of the work of Paley and Zygmund on random trigonometric series -- Empirical characteristic functional analysis and inference
in sequence spaces -- Is probability a part of mathematical truth? -- Extension of radial positive-definite distributions in ?n and maximum entropy -- The phase behaviour of ultraflat unimodular polynomials -- Fixed points in mixed
spectrum analysis -- Monte Carlo periodograms -- A class of equivalent measures -- IV Stochastic calculus -- Second order Hamilton-Jacobi equations in infinite dimensions and stochastic optimal control problems -- Nuclear space-valued
stochastic differential equations with applications -- A basic view of stochastic integration -- On the entropy of certain stochastic measures -- The geometry of attractors for a class of iterated function systems -- Problems
ISBN:9789401127912
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO ASI Series, Series C: Mathematical and Physical Sciences: 372
Keywords: Mathematics , Fourier analysis , System theory , Probabilities , Mathematics , Probability Theory and Stochastic Processes , Signal, Image and Speech Processing , Fourier Analysis , Systems Theory, Control
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Call number:SPRINGER-1992-9789401124720:ONLINE Show nearby items on shelf
Title:Digitised Optical Sky Surveys Proceedings of the Conference on ‘Digitised Optical Sky Surveys’, Held in Edinburgh, Scotland, 18–21 June 1991
Author(s):
Date:1992
Size:1 online resource (524 p.)
Note:10.1007/978-94-011-2472-0
Contents:Welcoming Address: Two thousand years of Optical Sky Surveys -- One: Sky Surveys and Calibration Programmes -- Current and Future Programmes with the UK Schmidt Telescope -- The Use of Eastman Kodak 4415 Film in the UK Schmidt
Telescope -- The Chinese Large Schmidt Telescope Project -- The Deep 2-Micron Survey of the Southern Sky -- Next Generation Optical Sky Surveys -- Photometric Calibration of the Southern Sky Surveys -- The Second HST Guide Star
Photometric Catalog -- Two: Digitisation Programmes — Current and Planned -- The COSMOS/UKST Catalog of the Southern Sky -- The Automated Plate Scanner Catalog of the Palomar Sky Survey -- Digitised Sky Surveys at the Space Telescope
Science Institute -- The Selection of a Sampling Interval for Digitisation: How Fine is Fine Enough? -- The MAMA Facility: A Survey of Scientific Programmes -- ASTROSCAN II: The Next Leiden Microdensitometer -- A New Astrometric
Measuring Machine: Design and Astronomical Programmes -- Hardware and Software Aspects of CCD Camera-Based Astrometric Plate Measurements -- SuperCOSMOS -- Real-Time Data Processing for SuperCOSMOS -- A Colour/Proper Motion Study of
the Southern Sky — A Planned Digitisation Programme on SuperCOSMOS -- Three: Developments in Techniques — Compression, Astrometry, Photometry and Object Classification -- Developments in Compression Techniques for COSMOS/SuperCOSMOS
Data -- Compression of the Guide Star Digitised Schmidt Plates -- Proper Motions of M.A.S./Year Accuracy with Photographic Schmidt Plates -- Updating the AGK3 Reference Star Catalog with Astrometrically Reduced Schmidt Plates --
Calibration of Large Batches of Photographic Images -- An Automated Image Measuring System -- Automated Morphological Classification of Faint Galaxies -- Automated Star/Galaxy Discrimination with Neural Networks -- A Comparison of
Star/Galaxy Classification Approaches on Digitised Poss-II Plates -- Automated Stellar Spectral Classification VIA Statistical Moments -- Four: Astronomy from Large Scale Digitised Surveys -- Asteroid Searches from UKST Material -- UBV
Star Counts in Selected Area 54, and Global Structure of the Galaxy -- A Search for Macroscopic Dark Matter in the Galactic Halo through Microlensing -- A Deep Proper Motion Survey of the Pleiades for Very Low Mass Stars and Brown
Dwarfs -- The Absolute Proper Motion of the Globular Cluster M3 -- The Structure and Stellar Content of the Small Magellanic Cloud -- The Variable Star System of the Sculptor Dwarf Galaxy -- Normal Surface Brightness Dwarf Galaxies in
the Fornax Cluster -- Surveys for Low Surface Brightness Galaxies -- The APM Bright Galaxy Surveys -- The APM Cluster Redshift Survey -- Galaxy Correlation Function Constraints on Largescale Structure -- The Edinburgh/Durham Southern
Galaxy Catalogue -- The ROE/NRL Cluster Catalog: I. Correlation with Southern Abell Clusters -- The ROE/NRL Cluster Catalog: II. Correlation with Serendipitous Einstein X-Ray Sources -- An Automated Search for Compact Groups of
Galaxies -- The Münster Redshift Project — MRPS -- A ~ 700 Galaxy Magnitude-Limited Redshift Survey near the SGP -- The Durham/UKST Galaxy Redshift Survey -- Extended Structure in the 3-D Galaxy Distribution at the Galactic Poles -- A
Homogeneous Bright Quasar Survey -- The Edinburgh Multi-Colour Survey for Quasars -- APM Surveys for High Redshift Quasars -- Large Groups of Quasars -- Five: Optical Identification Programmes using Digitised Surveys -- The
Identification of Potential Counterparts to X-Ray Binaries using COSMOS -- The Einstein Slew Survey Catalog -- The Rosat all-Sky Survey and First Identifications of X- Ray Sources using Digitised Optical Plates -- Optical
Identification of X-Ray Sources from Digitised Sky Survey Plates -- Optical Identification of Sources in the IRAS Faint Source Database -- Optical Identification of the New Parkes/MIT/NRAO Radio Sources from Digitised Sky Survey Data
-- Discussion Meeting -- Conference Overview and Concluding Remarks -- Author Index -- Object Index
ISBN:9789401124720
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Astrophysics and Space Science Library, A Series of Books on the Recent Developments of Space Science and of General Geophysics and Astrophysics Published in Connection with the Journal Space Science Reviews: 174
Keywords: Statistics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-1992-9783642775376:ONLINE Show nearby items on shelf
Title:New Directions for Operations Research in Manufacturing Proceedings of a Joint US/German Conference, Gaithersburg, Maryland, USA, July 30–31, 1991
Author(s):
Date:1992
Size:1 online resource (530 p.)
Note:10.1007/978-3-642-77537-6
Contents:I. Plenary Address -- Whither Manufacturing and Operations Research? -- II. Planning and Control -- An Hierarchical Planning, Loading, Routing and Control Scheme for Flexible Manufacturing Systems -- Analysis of Production Planning
and Control (PPC) Systems as an Efficient Combination of Information Activities -- Hierarchical Production Planning in Group Technologies -- Design of an Information-Based Distributed Production Planning System -- LP-Models in
Production Planning and Control -- A Realization for a Generic Controller in Production Planning Hierarchies -- III. Genetic Algorithms -- Sequence Scheduling with Genetic Algorithms -- Local Search in Problem and Heuristic Space for
Job Shop Scheduling Genetic Algorithms -- The Application of a Parallel Genetic Algorithm to the n/m/P/Cmax Flowshop Problem -- IV. Scheduling -- Scheduling Semiconductor Test Operations: Optimization and Approximation -- Job and Tool
Scheduling for Flexible Machining Cells -- Scheduling and Control of Flexible Manufacturing Systems: Some Experiences and Observations -- Dispatching Issues in Job Shop Scheduling -- V. Real-Time Scheduling -- Dynamic Task Assignment
in Distributed Manufacturing Systems -- An Object-Oriented Knowledge Representation in Real-Time Scheduling -- An Expert System for Distributed Real-Time Scheduling of Factory Communications Resources -- A Rescheduling Procedure for
Manufacturing Systems Under Random Disruptions -- VI. Neural Networks -- A Hybrid Approach to Flexible Manufacturing Systems Scheduling Using Neural and Symbolic Processing -- Applying Artificial Neural Networks to Process Planning --
A Hybrid Intelligent Architecture for Automated PCB Assembly -- Neural Networks for Detection of Process Change in Manufacturing Systems -- VII. Applications of Mathematical Programming -- Tabu Search Techniques for the Quadratic
Semi-Assignment Problem -- The Impact of Correlated Demands on Integrated Safety Stock Optimization in Multi-stage Manufacturing Systems -- VIII. Applications of Modelling -- An Integrated System Shell Concept for Computer Aided Design
and Planning -- Service Level in Multistage MRP and Base Stock Controlled Production Systems -- Rapid Modeling: Methods and Tools for Strategic and Operational Planning of Manufacturing Systems -- Enterprise Models for the Design and
Management of Manufacturing Systems -- Responsive Tool Management: Making Fixed Manufacturing Systems More Flexible -- Multicriteria Design of Manufacturing Systems -- List of Sponsors
ISBN:9783642775376
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Organization , Planning , Production management , Operations research , Decision making , Management science , Mathematics , Operations Research, Management Science , Operation Research/Decision Theory , Operations Management , Organization
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Call number:SPRINGER-1992-9781461228561:ONLINE Show nearby items on shelf
Title:Computing Science and Statistics Statistics of Many Parameters: Curves, Images, Spatial Models
Author(s):
Date:1992
Size:1 online resource (583 p.)
Note:10.1007/978-1-4612-2856-1
Contents:Keynote Address -- Plenary Addresses -- Invited Papers Bayesian Computation -- Software Quality and Reliability -- Constrained Least Squares -- Small Sample Performance of Computer Intensive Statistical Methods -- Curve and Density
Estimation -- Graphical Techniques for Analyzing Data -- Breaking out of 2-D Cartesian Coordinates -- Nonparametric Regression -- Spatial Statistics and Image Reconstruction -- Neural Network Computations -- Bayesian Applications --
Modern APL -- Neural Networks and Related Techniques -- Nonlinear and Spatical Time Series -- Nonparametric Data Analysis -- Software Metrics -- Algorithmic Statistical Process Control -- Contributed Papers
ISBN:9781461228561
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Probabilities , Mathematics , Probability Theory and Stochastic Processes , Applications of Mathematics
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Call number:SPRINGER-1991-9789401134606:ONLINE Show nearby items on shelf
Title:Maximum Entropy and Bayesian Methods Laramie, Wyoming, 1990
Author(s):
Date:1991
Size:1 online resource (371 p.)
Note:10.1007/978-94-011-3460-6
Contents:Notes on Present Status and Future Prospects -- Bayesian Methods and Entropy in Economics and Econometrics -- The Role of Priors in Active Bayesian Learning in the Sequential Statistical Decision Framework -- The Principle of Maximum
Entropy and the Difference Between Risk and Uncertainty -- Analysis of Lunar Occultation Data -- The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code -- Computational Problems and Signal Processing in SETI --
Maximum Entropy in Condensed Matter Theory -- Entropy Maximization in Nuclear Physics -- Applications of Maxent to Quantum Monte Carlo -- Maximum Entropy Applications in Radar -- The Application of Maximum Entropy Signal Processing to
Ultrasonic Surface Parameterisation -- Steel Characterization using Bayesian Analysis of Barkhausen Noise -- Bayesian Spectral Analysis of Reflectivity Data -- On the Assignment of Prior Expectation Values and a Geometric Means of
Maximizing — Tr?ln#x03C1 Constrained by Measured Expectation Values -- The Evaluation and Predictive Properties of the “MemSys3” Algorithm -- The Evolution of Our Probability Image for the Spin Orientation of a Spin-1/2 — Ensemble As
Measurements Are Made on Several Members of the Ensemble — Connections with Information Theory and Bayesian Statistics -- Stochasticity in Nature, and Its Consequences -- Reasoning with Maximum Entropy in Expert Systems -- Some
Applications of the Bayesian, Maximum-Entropy Concept in Geostatistics -- Maximum Entropy Image Reconstruction of DNA Sequencing Data -- Maximum Entropy Connections: Neural Networks -- Quantifying Drug Absorption -- Energy
Flow-Networks and the Maximum Entropy Formalism -- On Parameter Estimation and Quantified Maxent -- A Subpixel Deconvolution Method for Astronomical Images -- Maximum Entropy Prior Laws of Images and Estimation of their Parameters --
Two New Methods for Retrieving an Image from Noisy, Incomplete Data, and Comparison with the Cambridge Maxent Package -- Rayleigh Task Performance as A Method To Evaluate Image Reconstruction Algorithms -- Maximum Entropy Image
Construction of the Galaxy M51 -- The Image Reconstruction Contest -- Moment Estimation using Bayesian Probability Theory -- Maximum Entropy with Poisson Statistics -- From Euclid to Entropy -- Bayesian Interpolation -- Ockham’s Razor
-- Probabilistic Displays
ISBN:9789401134606
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on the Fundamental Theories of Physics: Their Clarification, Development and Application : 43
Keywords: Statistics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics, general
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Call number:SPRINGER-1991-9783642763076:ONLINE Show nearby items on shelf
Title:Classification, Data Analysis, and Knowledge Organization Models and Methods with Applications
Author(s):
Date:1991
Size:1 online resource (394 p.)
Note:10.1007/978-3-642-76307-6
Contents:I: Mathematical and statistical methods for classification and data analysis -- Classification and clustering methods -- An agglomerative method for two-mode hierarchical clustering -- Selection from overlapping classifications -- On
cluster methods for qualitative data II -- A regression analytic modification of Ward’s method: A contribution to the relation between cluster analysis and factor analysis -- The “partition with a structure” concept in biological data
analysis -- Classification with neural networks -- Statistical and probabilistic aspects of clustering and classifications -- Multigraphs for the uncovering and testing of structures -- Estimators and relative efficiencies in models of
overlapping samples -- Lower bounds for the tail probabilities of the scan statistic -- Poisson approximations of image processes in computer tomography -- Statistical, geometrical and algebraic methods for data analysis -- Some recent
developments in linear models: A short survey (plenary lecture) -- Causal analysis in marketing research with LISREL or a combination of traditional multivariate methods? -- Analysis of data measured on a lattice -- Dual algorithms in
multidimensional scaling -- Comparison of biplot analysis and formal concept analysis in the case of a repertory grid -- Convexity in ordinal data -- Classification and seriation by iterative reordering of a data matrix -- Data
analysis based on a conceptual file -- II: Knowledge organization, data bases, and information retrieval -- Modelling, representation and organization of conceptual knowledge -- Decentralized modelling of data and relationships in
enterprises -- A contribution to the examination of semantic relations between lexemes -- A mathematical model for conceptual knowledge systems -- Compositional semantics and concept representation 163 -- Data bases, expert systems,
information retrieval, and library systems -- Small and beautiful? Some remarks on evaluating microcomputer based library systems -- A tool for validating PROLOG programs -- On the database component in the knowledge-based system
WIMDAS -- Information retrieval techniques in rule-based expert systems -- Object databases and thesauri for small museums (plenary lecture) -- Terminology and classification -- The structure and role of specialized information in
scientific and technical terminologies -- Terminology work in the World Health Organization: EUROTERM abbreviations -- HyperTerm — A proposal for a user-friendly termbank -- The role of classification in terminology documentation
(plenary lecture) -- III: Applications and methods for special subject fields -- Classification, systematics, and evolution in biology -- The hierarchy of organisms: Systematics and classification in biology (plenary lecture) --
Estimating phylogenies with invariant functions of data (plenary lecture) -- Statistical analysis of genetic distance data -- Variance estimation in the additive tree model -- Classification and documentation in medicine --
Semi-automated classification of medical phrases using a personal computer -- Structure of informations on medical trials -- Recent problems and longterm activities in the classification of medical concepts -- Exploring
three-dimensional image data with classification methods -- Data analysis in the archeological and historical sciences -- The reconstruction of “genetic kinship” in prehistoric burial complexes — Problems and statistics -- An approach
to a formal statistical analysis of historical data based on the town of Bamberg -- Automatic syntax analysis of meroitic funeral inscriptions -- Application of computers in historical-topographical research: A database for travel
reports on Greece (18th and 19th century) -- The use of multivariate statistics in Scandinavian archeology -- The application of correspondence analysis: some examples in archeology -- An analysis of beads found in the Merovingian
cemetery of Weingarten -- Classification in industry: Coding systems and commodity description -- Bank code numbers as defining arguments and controlling tools in automated payments -- From commodity description to expert systems --
Tabular layouts of article characteristics and formal concept analysis (in German) -- The postcode, a local and routing code for the transport of mail items
ISBN:9783642763076
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Operations research , Decision making , Data structures (Computer science) , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Operation Research/Decision Theory , Data Structures
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Call number:SPRINGER-1991-9781461232162:ONLINE Show nearby items on shelf
Title:Code Recognition and Set Selection with Neural Networks
Author(s):
Date:1991
Note:10.1007/978-1-4612-3216-2
Contents:0—The Neural Network Approach to Problem Solving -- 0.1 Defining a Neural Network -- 0.2 Neural Networks as Dynamical Systems -- 0.3 Additive and High Order Models -- 0.4 Examples -- 0.5 The Link with Neuroscience -- 1—Neural Networks
as Dynamical Systems -- 1.1 General Neural Network Models -- 1.2 General Features of Neural Network Dynamics -- 1.3 Set Selection Problems -- 1.4 Infeasible Constant Trajectories -- 1.5 Another Set Selection Problem -- 1.6 Set
Selection Neural Networks with Perturbations -- 1.7 Learning -- Problems and Answers -- 2—Hypergraphs and Neural Networks -- 2.1 Multiproducts in Neural Network Models -- 2.2 Paths, Cycles, and Volterra Multipliers -- 2.3 The
Cohen-Grossberg Function -- 2.4 The Foundation Function ? -- 2.5 The Image Product Formulation of High Order Neural Networks -- Problems and Answers -- 3—The Memory Model -- 3.1 Dense Memory with High Order Neural Networks -- 3.2 High
Order Neural Network Models -- 3.3 The Memory Model -- 3.4 Dynamics of the Memory Model -- 3.5 Modified Memory Models Using the Foundation Function -- 3.6 Comparison of the Memory Model and the Hopfield Model -- Problems and Answers --
4—Code Recognition, Digital Communications, and General Recognition -- 4.1 Error Correction for Binary Codes -- 4.2 Additional Tests of the Memory Model as a Decoder -- 4.3 General Recognition -- 4.4 Scanning in Image Recognition --
4.5 Commercial Neural Network Decoding -- Problems and Answers -- 5—Neural Networks as Dynamical Systems -- 5.1 A Two-Dimensional Limit Cycle -- 5.2 Wiring -- 5.3 Neural Networks with a Mixture of Limit Cycles and Constant Trajectories
-- Problems and Answers -- 6—Solving Operations Research Problems with Neural Networks -- 6.1 Selecting Permutation Matrices with Neural Networks -- 6.2 Optimization in a Modified Permutation Matrix Selection Model -- 6.3 The Quadratic
Assignment Problem -- Appendix A—An Introduction to Dynamical Systems -- A.1 Elements of Two-Dimensional Dynamical Systems -- A.2 Elements of n-Dimensional Dynamical Systems -- A.3 The Relation Between Difference and Differential
Equations -- A.4 The Concept of Stability -- A.5 Limit Cycles -- A.6 Lyapunov Theory -- A.7 The Linearization Theorem -- A.8 The Stability of Linear Systems -- Appendix B—Simulation of Dynamical Systems with Spreadsheets -- References
-- Index of Key Words -- Epilog
ISBN:9781461232162
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modeling : 7
Keywords: Mathematics , Algorithms , Computer mathematics , Mathematical models , Mathematical logic , Mathematics , Mathematical Logic and Foundations , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering , Algorithms
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Call number:SPRINGER-1991-9781461230342:ONLINE Show nearby items on shelf
Title:Fractals and Chaos
Author(s):
Date:1991
Size:1 online resource (277 p.)
Note:10.1007/978-1-4612-3034-2
Contents:1 Fractals -- 1 Jones: Fractals Before Mandelbrot -- 2 Reeve: Mandelbrot, Julia Sets and Nonlinear Mappings -- 3 Batty: Cities as Fractals: Simulating Growth and Form -- 4 Kaandorp: Modelling Growth Forms of Sponges with Fractal
Techniques -- 5 Saupe: Random Fractals in Image Synthesis -- 6 Horn: IFSs and the Interactive Design of Tiling Structures -- 7 Bressloff and Stark: Neural Networks, Learning Automata and Iterated Function Systems -- 2 Chaos -- 8
Crilly: The Roots of Chaos—A Brief Guide -- 9 Lansdown: Chaos, Design and Creativity -- 10 Novak: Relativistic Particles in a Magnetic Field -- 11 Mullin: Chaos in Physical Systems -- 12 Darbyshire and Price: Phase Portraits from
Chaotic Time Series -- 13 Pottinger: Data Visualisation Techniques for Nonlinear Systems
ISBN:9781461230342
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , History , Computer graphics , Geometry , Mathematics , History of Mathematical Sciences , History of Science , Geometry , Computer Graphics , Mathematics, general
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Call number:SPRINGER-1990-9789400905290:ONLINE Show nearby items on shelf
Title:Neural and Automata Networks Dynamical Behavior and Applications
Author(s): Eric Goles
Date:1990
Size:1 online resource (264 p.)
Note:10.1007/978-94-009-0529-0
Contents:1. Automata Networks -- 1.1. Introduction -- 1.2. Definitions Regarding Automata Networks -- 1.3. Cellular Automata -- 1.4. Complexity Results for Automata Networks -- 1.5. Neural Networks -- 1.6. Examples of Automata Networks -- 2.
Algebraic Invariants on Neural Networks -- 2.1. Introduction -- 2.2. K-Chains in 0-1 Periodic Sequences -- 2.3. Covariance in Time -- 2.4. Algebraic Invariants of Synchronous Iteration on Neural Networks -- 2.5. Algebraic Invariants of
Sequential Iteration on Neural Networks -- 2.6. Block Sequential Iteration on Neural Networks -- 2.7. Iteration with Memory -- 2.8. Synchronous Iteration on Majority Networks -- 3. Lyapunov Functionals Associated to Neural Networks --
3.1. Introduction -- 3.2. Synchronous Iteration -- 3.3. Sequential Iteration -- 3.4. Tie Rules for Neural Networks -- 3.5. Antisymmetrical Neural Networks -- 3.6. A Class of Symmetric Networks with Exponential Transient Length for
Synchronous Iteration -- 3.7. Exponential Transient Classes for Sequential Iteration -- 4. Uniform One and Two Dimensional Neural Networks -- 4.1. Introduction -- 4.2. One-Dimensional Majority Automata -- 4.3. Two-Dimensional Majority
Cellular Automata -- 4.4. Non-Symmetric One-Dimensional Bounded Neural Networks -- 4.5. Two-Dimensional Bounded Neural Networks -- 5. Continuous and Cyclically Monotone Networks -- 5.1. Introduction -- 5.2. Positive Networks -- 5.3.
Multithreshold Networks -- 5.4. Approximation of Continuous Networks by Multithreshold Networks -- 5.5. Cyclically Monotone Networks -- 5.6. Positive Definite Interactions. The Maximization Problem -- 5.7. Sequential Iteration for
Decreasing Real Functions and Optimization Problems -- 5.8. A Generalized Dynamics -- 5.9. Chain-Symmetric Matrices -- 6. Applications on Thermodynamic Limits on the Bethe Lattice -- 6.1. Introduction -- 6.2. The Bethe Lattice -- 6.3.
The Hamiltonian -- 6.4. Thermodynamic Limits of Gibbs Ensembles -- 6.5. Evolution Equations -- 6.6. The One-Site Distribution of the Thermodynamic Limits -- 6.7. Distribution of the Thermodynamic Limits -- 6.8.Period ? 2 Limit Orbits
of Some Non Linear Dynamics on $$ \mathbb{R}_{ + }^{s} $$ -- 7. Potts Automata -- 7.1. The Potts Model -- 7.2. Generalized Potts Hamiltonians and Compatible Rules -- 7.3. The Complexity of Synchronous Iteration on Compatible Rules --
7.4. Solvable Classes for the Synchronous Update -- References -- Author and Subject Index
ISBN:9789400905290
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics and Its Applications : 58
Keywords: Computer science , Computers , Computer science , Statistical physics , Dynamical systems , Electrical engineering , Computer Science , Discrete Mathematics in Computer Science , Theory of Computation , Statistical Physics, Dynamical Systems and Complexity , Electrical Engineering
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Call number:SPRINGER-1986-9781475719048:ONLINE Show nearby items on shelf
Title:Principal Component Analysis
Author(s): I. T Jolliffe
Date:1986
Size:1 online resource (271 p.)
Note:10.1007/978-1-4757-1904-8
Contents:1 Introduction -- 2 Mathematical and Statistical Properties of Population Principal Components -- 3 Mathematical and Statistical Properties of Sample Principal Components -- 4 Principal Components as a Small Number of Interpretable
Variables: Some Examples -- 5 Graphical Representation of Data Using Principal Components -- 6 Choosing a Subset of Principal Components or Variables -- 7 Principal Component Analysis and Factor Analysis -- 8 Principal Components in
Regression Analysis -- 9 Principal Components Used with Other Multivariate Techniques -- 10 Outlier Detection, Influential Observations and Robust Estimation of Principal Components -- 11 Principal Component Analysis for Special Types
of Data -- 12 Generalizations and Adaptations of Principal Component Analysis -- Computation of Principal Components -- A1. Numerical Calculation of Principal Components -- A2. Principal Component Analysis in Computer Packages --
References
ISBN:9781475719048
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Neural networks (Computer science) , Statistics , Statistical Theory and Methods , Mathematical Models of Cognitive Processes and Neural Networks
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Call number:SPRINGER-1978-9783642930836:ONLINE Show nearby items on shelf
Title:Theoretical Approaches to Complex Systems Proceedings, Tübingen, June 11–12, 1977
Author(s):
Date:1978
Size:1 online resource (246 p.)
Note:10.1007/978-3-642-93083-6
Contents:Existence Criteria for Bifurcations as Stability Criteria for Critical Nonlinear Control Systems -- Asymptotic System Analysis and Goal Functions -- Strange Attractors in 3-Variable Reaction Systems -- Structures of Excitation and
Inhibition -- A new Approach to Synaptic Interactions -- Figure-Ground Discrimination by the Visual System of the Fly -- Evolution of the Adaptive Landscape -- Cell Assemblies in the Cerebral Cortex -- Excitatory and Inhibitory
Processes Giving Rise to the Delayed Response in the Retinal Ganglion Cell of the Frog -- On Constrained Transinformation Functions -- Self-Diagnosis of Interactive Systems
ISBN:9783642930836
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 21
Keywords: Mathematics , Neurosciences , System theory , Neural networks (Computer science) , Mathematics , Mathematical Models of Cognitive Processes and Neural Networks , Complex Systems , Neurosciences
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Call number:RX-1476 Show nearby items on shelf
Title:Aspects of Artificial Neural Networks with Applications in High Energy Physics
Author(s): Thorsteinn S. Rognvaldsson
(Lund U.)
Date:1994
Edition:PhD Thesis
Keywords: Thesis , Neural Networks - Computer Science
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Location: THESES
Report-number:RX-1476 (LUND)

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Call number:QA76.87.R44::1998 Show nearby items on shelf
Title:Neural smithing : supervised learning in feedforward artificial neural networks
Author(s): Russell D. Reed
Robert J. Marks
Date:1998
Publisher:The MIT Press, Cambridge, Mass
Size:346
ISBN:0262181908
Keywords: Neural networks (Computer science)
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Cover Image This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA76.87.M373::1994 Show nearby items on shelf
Title:Signal and image processing with neural networks : a C++ sourcebook
Author(s): Timothy Masters
Date:1994
Publisher:J. Wiley, New York
Size:417
ISBN:0471049638
Keywords: Neural networks (Computer science)
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Cover Image This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA76.87.M37::1993 Show nearby items on shelf
Title:Practical neural network recipes in C++
Author(s): Timothy Masters
Date:1993
Publisher:Academic Press, Boston
Size:493
ISBN:0124790402
Keywords: Neural networks (Computer science)
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Cover Image This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA76.87.L49::1992 Show nearby items on shelf
Title:Artificial life : the quest for a new creation
Author(s): Steven Levy
Date:1992
Edition:1st ed.
Publisher:Pantheon Books, New York
Size:390
ISBN:067940774X
Keywords: Neural networks (Computer science)
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Call number:QA76.87.K86::1993 Show nearby items on shelf
Title:Digital neural networks
Author(s): Sun Yuan Kung
Date:1993
Publisher:Prentice Hall, Englewood Cliffs, N.J
Size:444
ISBN:0136123260
Series:Prentice-Hall information and system sciences series 296
Keywords: Neural networks (Computer science)
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Cover Image This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA76.87.I56::1994 Show nearby items on shelf
Title:ICANN '94 : proceedings of the International Conference on Artificial Neural Networks, Sorrento, Italy, 26-29 May 1994
Conference:International Conference on Artificial Neural Networks, Sorrento, Italy, 1994
Author(s): Maria Marinaro
Date:1994
Publisher:Springer-Verlag, London
Size:214826
ISBN:3540198873
Keywords: Neural networks (Computer science) Congresses. , Conference proceedings , Conferences
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Call number:QA76.87.F74::1991 Show nearby items on shelf
Title:Neural networks : algorithms, applications, and programming techniques
Author(s): James A. Freeman
David M. Skapura
Date:1991
Publisher:Addison-Wesley, Reading, Mass
Size:401
ISBN:0201513765
Series:Computation and neural systems series 100
Keywords: Neural networks (Computer science)
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Call number:QA76.76.E95K67::1991 Show nearby items on shelf
Title:Neural networks and fuzzy systems : a dynamical systems approach to machine intelligence
Author(s): Bart Kosko
Date:1992
Publisher:Prentice Hall, Englewood Ciffs, NJ
Size:449
ISBN:0136114350
Keywords: Expert systems (Computer science)
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Call number:QA76.73.P98G78::2015 Show nearby items on shelf
Title:Data science from scratch: First principles with Python
Author(s): Joel Grus
Date:2015
Publisher:O'Reilly Media
Size:311 p.
Contents:Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Go forth and do dat a science.
ISBN:9781491901427
Keywords: Python (Computer program language) , Database management. , Data structures (Computer science)
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