The Resource Theory of neural information processing systems, A.C.C. Coolen, R. Kühn., P. Sollich

Theory of neural information processing systems, A.C.C. Coolen, R. Kühn., P. Sollich

Label
Theory of neural information processing systems
Title
Theory of neural information processing systems
Statement of responsibility
A.C.C. Coolen, R. Kühn., P. Sollich
Creator
Contributor
Subject
Language
eng
Summary
"Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline, including mathematics, computer science, physics, engineering, biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the students into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience." --Book Jacket
Cataloging source
N$T
Dewey number
006.32
Illustrations
illustrations
Index
index present
LC call number
QA76.87
LC item number
.C6825 2005eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Label
Theory of neural information processing systems, A.C.C. Coolen, R. Kühn., P. Sollich
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Recurrent networks with binary neurons
  • 4.
  • Notes and suggestions for further reading
  • Pt. II
  • Advanced neural networks
  • 5.
  • Competitive unsupervised learning processes
  • 6.
  • Bayesian techniques in supervised learning
  • 7.
  • Machine generated contents note:
  • Gaussian processes
  • 8.
  • Support vector machines for binary classification
  • 9.
  • Notes and suggestions for further reading
  • Pt. III
  • Information theory and neural networks
  • 10.
  • Measuring information
  • 11.
  • Pt. I
  • Identification of entropy as an information measure
  • 12.
  • Building blocks of Shannon's information theory
  • 13.
  • Information theory and statistical inference
  • 14.
  • Applications to neural networks
  • 15.
  • Notes and suggestions for further reading
  • Pt. IV
  • Introduction to neural networks
  • Macroscopic analysis of dynamics
  • 16.
  • Network operation : macroscopic dynamics
  • 17.
  • Dynamics of online learning in binary perceptions
  • 18.
  • Dynamics of online gradient descent learning
  • 19.
  • Notes and suggestions for further reading
  • Pt. V
  • 1.
  • Equilibrium statistical mechanics of neural networks
  • 20.
  • Basics of equilibrium statistical mechanics
  • 21.
  • Network operation : equilibrium analysis
  • 22.
  • Gardner theory of task realizability
  • 23.
  • Notes and suggestions for further reading
  • App. A
  • General introduction
  • Probability theory in a nutshell
  • App. B
  • Conditions for the central limit theorem to apply
  • App. C
  • Some simple summation identities
  • App. D
  • Gaussian integrals and probability distributions
  • App. E
  • Matrix identities
  • App. F
  • 2.
  • [delta]-distribution
  • App. G
  • Inequalities based on convexity
  • App. H
  • Metrics for parametrized probability distributions
  • Layered networks
  • 3.
Control code
ocm64238918
Dimensions
unknown
Extent
1 online resource (xvi, 569 pages)
File format
unknown
Form of item
online
Isbn
9781423753094
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
075899
Quality assurance targets
not applicable
http://library.link/vocab/recordID
.b36417233
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)64238918
  • acaebk1423753097

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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