Minimum Error Entropy Classification
| Autor: | Alexandre, Luís A. Marques de Sá, Joaquim P. Santos, Jorge M. F. Silva, Luís M. A. |
|---|---|
| EAN: | 9783642290282 |
| Sachgruppe: | Technik |
| Sprache: | Englisch |
| Seitenzahl: | 280 |
| Produktart: | Gebunden |
| Veröffentlichungsdatum: | 25.07.2012 |
| Schlagworte: | Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI Statistik |
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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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