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Machine Learning: An Artificial Intelligence Approach, Volume II: v. 2 (Hardcover)

by Ryszard S. Michalski (Author), Jaime G. Carbonell (Author), Tom M. Mitchell (Author) "This chapter presents an overview of goals and directions in machine learning research and serves as a conceptual road map to other chapters ..." (more)

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Product details

Hardcover: 738 pages
Publisher: Morgan Kaufmann (25 Dec 1986)
Language English
ISBN-10: 0934613001
ISBN-13: 978-0934613002
Product Dimensions: 24.3 x 16.2 x 3.9 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 1,470,618 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.

--This text refers to the Hardcover edition.

About the Author
By Ryszard S. Michalski, Jaime G. Carbonell and Tom M. Mitchell

Inside This Book (Learn More)

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This chapter presents an overview of goals and directions in machine learning research and serves as a conceptual road map to other chapters. Read the first page

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