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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Computational Learning Theory
• Author: M.H.G. Anthony, N. Biggs
• Language: English
• Binding: Paperback
• Number of pages: 172
• EAN: 9780521599221
• ISBN: 0521599229
• ID: 02036941
• Publisher: Cambridge University Press
• Weight: 316 g
• Dimensions: 172 × 244 × 15 mm
• Date of publishing: 27. February 1997

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