Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30)

Anthony, M. H. G.; Biggs, N.

ISBN 10: 0521416035 / ISBN 13: 9780521416030

Published by Cambridge University Press, 1992

About this Item

Seller Inventory # 0521416035-3-31851991

Bibliographic Details

• Title: Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30)
• Publisher: Cambridge University Press
• Publication Date: 1992
• Language: English
• ISBN 10: 0521416035
• ISBN 13: 9780521416030
• Binding: Hardcover
• Condition: Good
• Weight: 18 ounces

About this title

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.