Computational Learning Theory: Eurocolt '93 - Couverture rigide

Shawe-Taylor, John

Couverture rigide

ISBN 10 : 0198534922 ISBN 13 : 9780198534921

Editeur : Clarendon Press, 1994

Synopsis

This volume contains 17 of the contributed papers presented at the 1st European Conference on Computational Learning Theory. Also included are invited presentations on the complexity of learning on neural nets, on new directions in computational learning theory, and on a neurodial model for cognitive functions. The proceedings give an overview of current work in computational learning theory, ranging from results inspired by neural network research to those arising from more classical artificial intelligence approaches. The study of machine learning within the mathematical framework of complexity theory has been a relatively recent development. The burgeoning interest in the application of machine learning to a wide variety of problems from control to financial market prediction has fired a corresponding upsurge in mathematical research.

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: Clarendon Press
• Date d'édition: 1994
• ISBN 10: 0198534922
• ISBN 13: 9780198534921
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 250
• Coordonnées du fabricant: non disponible