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Item Details
Title:
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MINIMUM ERROR ENTROPY CLASSIFICATION
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By: |
Joaquim P. Marques De Sa, Luis Silva, Jorge M. Santos |
Format: |
Paperback |
List price:
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£99.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
3642437427 |
ISBN 13: |
9783642437427 |
Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
Pub. date: |
9 August, 2014 |
Edition: |
2013 ed. |
Series: |
Studies in Computational Intelligence 420 |
Pages: |
262 |
Description: |
This book explains the minimum error entropy (MEE) concept applied to data classification machines. Discusses theoretical results, offers a clustering algorithm using a MEE-like concept, and includes tests, evaluation experiments and comparative applications. |
Synopsis: |
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. |
Illustrations: |
biography |
Publication: |
Germany |
Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
Returns: |
Returnable |
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