Machine Learning: A Multistrategy Approach, Volume IV

ISBN 10: 1558602518 / ISBN 13: 9781558602519

Edité par Morgan Kaufmann, 1994

This item is in overall good condition. Covers and dust jackets are intact but may have minor wear including slight curls or bends to corners as well as cosmetic blemishes including stickers. Pages are intact but may have minor highlighting/ writing. Binding is intact; however, spine may have slight wear overall. Digital codes may not be included and have not been tested to be redeemable and/or active. Minor shelf wear overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! N° de réf. du vendeur 466M6D0009WX

Synopsis :

Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.

À propos de l?auteur: Edited by Ryszard S. Michalski and George Tecuci

Détails bibliographiques

Titre : Machine Learning: A Multistrategy Approach, ...
Éditeur : Morgan Kaufmann
Date d'édition : 1994
Reliure : Couverture rigide
Etat : Good