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Algorithmic Learning Theory : 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings
This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full pa...
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| Auteur principal : | |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Algorithmic Learning Theory : 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings / edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann. |
| Édition : | 1st ed. 2012. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2012 |
| Collection : | Lecture Notes in Artificial Intelligence ; 7568 |
| Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
| Contenu : | inductive inference. teaching and PAC learning. statistical learning theory and classification. relations between models and data. bandit problems, online prediction of individual sequences.- other models of online learning |
| Sujets : | |
| Documents associés : | Autre format:
Algorithmic Learning Theory Autre format: Algorithmic Learning Theory |
| Résumé : | This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning |
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| Configuration requise : | Nécessite un lecteur de fichier PDF |
| ISBN : | 978-3-642-34106-9 |