Learning from data: concepts, theory, and methods

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Computers - Computer Science
Learning from data: concepts, theory,...

Learning from data: concepts, theory, and methods

Name: Learning from data: concepts, theory, and methods
ISBN: 9780471681823

Vladimir Cherkassky, Filip M. Mulier

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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.

Catégories:

Computers - Computer Science

Année:

2007

Edition:

2nd ed

Editeur::

IEEE Press :, Wiley-Interscience

Langue:

english

Pages:

557