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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| Hovedforfatter: | |
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| Andre forfattere: | , , , , , , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Serier: | Advances in Intelligent Systems and Computing
190 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
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| 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 |