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Cambridge University Press Computational Learning Theory: An Introduction: 30 (Cambridge Tracts in Theoretical Computer Science, Series Number 30)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 February 1997
Listed Since
09 February 2007

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