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Minimum Error Entropy Classification

Minimum Error Entropy Classification

von Joaquim P. Marques de Sá, Jorge M. F. Santos, Luís A. Alexandre und Luís M. A. Silva
Hardcover - 9783642290282
106,99 €
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Softcover - 9783642437427
106,99 €

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Weitere Formate

Softcover - 9783642437427
106,99 €

Beschreibung

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.

Details

Verlag Springer Berlin
Ersterscheinung 25. Juli 2012
Maße 23.5 cm x 15.5 cm
Gewicht 588 Gramm
Format Hardcover
ISBN-13 9783642290282
Seiten 262

Schlagwörter

Artificial Intelligence, Complex Systems, Computational Intelligence, Kybernetik und Systemtheorie, Künstliche Intelligenz, Mathematische Physik, Theoretical - Mathematical and Computational Physics

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