Machine Learning
A Multistrategy Approach, Volume IV
Morgan Kaufmann (Publisher)
Published on 31. December 1993
Book
Paperback/Softback
782 pages
978-1-4933-0352-6 (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
London
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
ISBN-13
978-1-4933-0352-6 (9781493303526)
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Schweitzer Classification
Other editions
Additional editions

Book
03/1994
Morgan Kaufmann
€74.55
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Persons
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