Synergies of Soft Computing and Statistics for Intelligent Data Analysis
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situatio...
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , , , , , , , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Advances in Intelligent Systems and Computing
190 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330414 • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330438 • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330414 |
Table des matières:
- PART I Invited Papers PART II Foundations PART III Statistical Methods PART IV Mathematical Aspects PART V Engineering