Computational Learning Theory : An Introduction

Anthony, M., Biggs, N.

ISBN 10: 0521599229 / ISBN 13: 9780521599221

Edité par Cambridge University Press, 1997

Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur GRP96099239

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.

Détails bibliographiques

Titre : Computational Learning Theory : An ...
Éditeur : Cambridge University Press
Date d'édition : 1997
Reliure : Couverture souple
Etat : Very Good