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Statistical Mechanics of Learning
A. Engel
€ 75.78
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Description for Statistical Mechanics of Learning
Paperback. Artificial neural networks, learning, statistical mechanics; background material in mathematics and physics; examples and exercises; textbook/reference. Num Pages: 344 pages, 1 table 136 exercises. BIC Classification: UYA; UYQ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 174 x 18. Weight in Grams: 696.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2001
Publisher
Cambridge University Press United Kingdom
Number of pages
344
Condition
New
Number of Pages
344
Place of Publication
Cambridge, United Kingdom
ISBN
9780521774796
SKU
V9780521774796
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
Reviews for Statistical Mechanics of Learning
'… 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