Computational Learning Theory: An Introduction

M. H. G. Anthony/ N. Biggs

ISBN 10: 0521599229 / ISBN 13: 9780521599221

Edité par Cambridge Univ Pr, 1997

A propos de cet article

157 pages. 10.00x7.00x0.50 inches. In Stock.

N° de réf. du vendeur x-0521599229

Détails bibliographiques

• Titre: Computational Learning Theory: An Introduction
• Éditeur: Cambridge Univ Pr
• Date de parution: 1997
• Langue: anglais
• ISBN à 10 chiffres: 0521599229
• ISBN à 13 chiffres: 9780521599221
• Reliure: Paperback
• État de l'article: Brand 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.