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Learning from Data: Concepts, Theory, and Methods

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Learning from Data: Concepts, Theory, and Methods - Cherkassky, Vladimir, and Mulier, Filip M
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An interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one ...

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Learning from Data: Concepts, Theory, and Methods 2007, Wiley-IEEE Press, Hoboken, NJ

ISBN-13: 9780471681823

2nd edition

Hardcover

Learning from Data: Concepts, Theory, and Methods 1998, Wiley-Interscience, New York, NY

ISBN-13: 9780471154938

Hardcover