Meta-learning in computational intelligence
Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages...
Zapisane w:
| 1. autor: | |
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| Kolejni autorzy: | , , , |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2011. |
| Seria: | Studies in Computational Intelligence
358 |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Meta-Learning in Computational Intelligence, Norbert Jankowski, Włodzisław Duch and Krzysztof Gr—abczewski (Eds), 2011, Berlin, Springer, Studies in Computational Intelligence, 978-3-642-20979-6 • Meta-Learning in Computational Intelligence, Texte imprimé, 9783642268588 • Meta-Learning in Computational Intelligence, Norbert Jankowski, Włodzisław Duch and Krzysztof Gr—abczewski (Eds), 2011, Berlin, Springer, Studies in Computational Intelligence, 978-3-642-20979-6 • Meta-Learning in Computational Intelligence, Texte imprimé, 9783642209819 |