Readings in Machine Learning - Couverture souple

Shaulik, June; Dietterich, Thomas

Couverture souple

ISBN 10 : 1558601430 ISBN 13 : 9781558601437

Editeur : Morgan Kaufmann Publishers In, 1990

Synopsis

The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

A propos du livre

À propos de l'auteur

Edited by Jude Shavlik and Thomas Dietterich

Détails de l'édition

• Éditeur: Morgan Kaufmann Publishers In
• Date d'édition: 1990
• Langue: anglais
• ISBN 10: 1558601430
• ISBN 13: 9781558601437
• Reliure: Broché
• Nombre de pages: 853
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible