Computational Learning Theory

Norman L. Biggs M. H. G. Anthony

ISBN 10: 0521599229 / ISBN 13: 9780521599221

Edité par Cambridge University Press CUP, 1997

pp. 172. N° de réf. du vendeur 26610176

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.

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 bibliographiques

Titre : Computational Learning Theory
Éditeur : Cambridge University Press CUP
Date d'édition : 1997
Reliure : Couverture souple
Etat : New