Minimum Error Entropy Classification

Name: Minimum Error Entropy Classification
SKU: 22697650
Price: 287.00 NZD
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Paperback / softback

Series:

Studies in Computational Intelligence

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Description

This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

Release date NZ

August 9th, 2014

Author

Audience

Professional & Vocational

Illustrations

xviii, 262 p.

Pages

262

Series

Studies in Computational Intelligence

Dimensions

155x235x15

ISBN-13

9783642437427

Product ID

22697650

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