Minimum Error Entropy Classification
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 p...
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| Glavni autori: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2013. |
| Serija: | Studies in Computational Intelligence
420 |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Minimum Error Entropy Classification, Texte imprimé, 9783642290282 • Minimum Error Entropy Classification, Texte imprimé, 9783642290305 • Minimum Error Entropy Classification, Texte imprimé, 9783642437427 • Minimum Error Entropy Classification, Texte imprimé, 9783642290282 |
Sadržaj:
- Introduction Continuous Risk Functionals MEE with Continuous Errors MEE with Discrete Errors EE-Inspired Risks Applications