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Machine Learning: A Multistrategy Approach, Volume IV: v. 4 (Hardcover)

by Ryszard S. Michalski (Editor), George Tecuci (Editor) "The development of multistrategy learning systems should be based on a clear understanding of the roles and the applicability conditions of different learning strategies ..." (more)

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Product details

Hardcover: 782 pages
Publisher: Morgan Kaufmann (8 Mar 1994)
Language English
ISBN-10: 1558602518
ISBN-13: 978-1558602519
Product Dimensions: 23.2 x 16 x 4.8 cm
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Amazon.co.uk Sales Rank: 3,105,751 in Books (See Bestsellers in Books)

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Product Description

Product 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.

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Edited by Ryszard S. Michalski and George Tecuci

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