Computational Learning Theory

Biggs Norman L. Anthony M. H. G.

ISBN 10: 0521599229 / ISBN 13: 9780521599221

Edité par Cambridge University Press, 1997

A propos de cet article

Print on Demand pp. 172 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 8319071

Détails bibliographiques

Titre : Computational Learning Theory

Éditeur : Cambridge University Press

Date d'édition : 1997

Reliure : Couverture souple

Etat : New

A propos de ce titre

Synopsis :

This an introduction to the theory of computational learning.

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.