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.
Lieferbar
ISBN | 9783642437427 |
---|---|
Sprache | eng |
Cover | Kartonierter Einband (Kt) |
Verlag | Springer Berlin Heidelberg |
Jahr | 20140809 |
Dieser Artikel hat noch keine Bewertungen.