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Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science)

M. H. G. Anthony, N. Biggs




[PDF.mu16] Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science)

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 | #4774259 in Books |  1992-03-27 | Original language:English | PDF # 1 |  9.72 x.47 x6.85l,1.01 | File type: PDF | 171 pages

||0 of 0 people found the following review helpful.| Five Stars|By Marco Sotelo|Everything is fine|2 of 2 people found the following review helpful.| Very short but good introduction to the field|By Dr. Lee D. Carlson|This book gives a good introduction to the mathematical modeling of cognition and does so with a level of mathematics that is very accessible to a typical graduate| |."..a welcome addition to the limited range of literature on computational learning theory, and it should perform a useful service in alerting a wider audience to this interesting and lively area..." Mathematical reviews|About the

Computational learning theory is one of the first attempts to construct a mathematical theory of a cognitive process. It has been a field of much interest and rapid growth in recent years. This text provides a framework for studying a variety of algorithmic processes, such as those currently in use for training artificial neural networks. The authors concentrate on an approximate model for learning and gradually develop the ideas of efficiency considerations. Finally, t...

You easily download any file type for your gadget.Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science)   |  M. H. G. Anthony, N. Biggs. A good, fresh read, highly recommended.

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