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Learning from Data

Learning from Data

Concepts, Theory, and Methods

Vladimir Cherkassky, Filip M. Mulier, Vladimir Cherkassky

Wiley-IEEE Press
Collection: IEEE Press
Publication date : 2007-09-10

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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 hundred illustrations, case studies, and examples making this an invaluable text.

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About the book

Author

Vladimir Cherkassky , Filip M. Mulier , Vladimir Cherkassky

Imprint

Wiley-IEEE Press

Collection

IEEE Press

Publication date

2007-09-10

Pages

560 pages

Print ISBN

9780471681823

Language

English

Ebook informations

EAN PDF

9780470140512

Price

£148.70

Copy count 0

Print count 560

File size 4772 Ko

Informations accessibility

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About author(s)

Vladimir Cherkassky

Filip M. Mulier

Vladimir Cherkassky

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