Minimum Error Entropy Classification (Studies in Computational Intelligence)

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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.

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eBook Details:
Category: Computer Science
Author: Joaquim P. Marques de Sa
Language: English
ISBN10: 3642290280
ISBN13: 9783642290282
Pages: 262
PubDate: 2012-07-25 00:00:00
UploadDate: 10/31/2014 11:32:42 am

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