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.
| ISBN: | 9783642290282 |
| Publication date: | 25th July 2012 |
| Author: | J P Marques de Sá |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 260 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence Cybernetics and systems theory Mathematical physics |
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.
Minimum Error Entropy Classification features in the following genres: Artificial intelligence, Cybernetics and systems theory, Mathematical physics
Minimum Error Entropy Classification is available in Hardback
Minimum Error Entropy Classification was written by J P Marques de Sá and published by Springer an imprint of Springer Berlin Heidelberg
Minimum Error Entropy Classification has 260 pages
Yes it is part of Studies in Computational Intelligence series