Emerging Paradigms in Machine Learning
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at...
Enregistré dans:
| Andre forfattere: | , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Serier: | Smart Innovation, Systems and Technologies
13 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642286988 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642287008 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642435744 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642286988 |
Indholdsfortegnelse:
- From the content: Emerging Paradigms in Machine Learning: An Introduction Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization Optimised information abstraction in granular Min/Max clustering Mining Incomplete Data A Rough Set Approach Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation