COMPUTATIONAL LEARNING THEORY by M.H.G. Anthony, N. Biggs ( 9780521599221 )

Item Details

Title:

COMPUTATIONAL LEARNING THEORY

By:

M.H.G. Anthony, N. Biggs

Format:

Paperback

List price:

£44.00

Our price:

£38.50

Discount:

12.5% off

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£5.50

ISBN 10:

0521599229

ISBN 13:

9780521599221

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Publisher:

CAMBRIDGE UNIVERSITY PRESS

Pub. date:

27 February, 1997

Series:

Cambridge Tracts in Theoretical Computer Science No. 30

Pages:

172

Description:

This an introduction to the theory of computational learning.

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.

Illustrations:

line drawings, references

Publication:

Imprint:

Cambridge University Press

Returns:

Returnable

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