
Machine Learning
A Multistrategy Approach, Volume IV
Morgan Kaufmann (Publisher)
Published on 8. March 1994
Book
Hardback
782 pages
978-1-55860-251-9 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Weight
1250 gr
ISBN-13
978-1-55860-251-9 (9781558602519)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
12/1993
Morgan Kaufmann
€74.55
Shipment within 15-20 days
Persons
Edited by Ryszard S. Michalski and George Tecuci
Content
Part One General Issues
Part Two Theory Revision
Part Three Cooperative Integration
Part Four Symbolic and Subsymbolic Learning
Part Five Special Topics and Applications
Part Two Theory Revision
Part Three Cooperative Integration
Part Four Symbolic and Subsymbolic Learning
Part Five Special Topics and Applications