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Computational Learning Theory
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Computational Learning Theory

Book Details

Format Paperback / Softback
ISBN-10 0521599229
ISBN-13 9780521599221
Publisher Cambridge University Press
Imprint Cambridge University Press
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 27th, 1997
Print length 172 Pages
Weight 316 grams
Dimensions 17.20 x 24.40 x 1.50 cms
Product Classification: Machine learning
Ksh 8,300.00
Manufactured on Demand 0 in stock

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This is a self contained volume in which the authors concentrate on the 'probably approximately correct model'. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.

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