Computational Learning Theory - Couverture rigide

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

Couverture rigide

ISBN 10 : 0521416035 ISBN 13 : 9780521416030

Editeur : Cambridge University Press, 1992

Synopsis

This an introduction to the theory of computational learning.

A propos du livre

Présentation de l'éditeur

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.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 1992
• ISBN 10: 0521416035
• ISBN 13: 9780521416030
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 171
• Coordonnées du fabricant: non disponible