Statistical Mechanics of Learning

Statistical Mechanics of Learning

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Summary

Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference.

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Statistical Mechanics of Learning by C Broeck

Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics and include many examples and exercises to make a book that can be used with courses, or for self-teaching, or as a handy reference.
'… recommended both to students of the subjects artificial intelligence, statistics, of interdisciplinary subjects in psychology and philosophy, and to scientists and applied researchers interested in concepts of intelligent learning processes' Zentralblatt für Mathematik und ihre Grenzgebiete Mathematics Abstracts
SKU Unavailable
ISBN 13 9780521774796
ISBN 10 0521774799
Title Statistical Mechanics of Learning
Author C Broeck
Condition Unavailable
Binding Type Paperback
Publisher Cambridge University Press
Year published 2001-03-29
Number of pages 344
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.