Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings
Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
This book constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, held in Canberra, Australia, in October 2010, co-located with the 13th International Conference on Discovery Science, DS 2010. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. The papers are divided into topical sections of papers on statistical learning; grammatical inference and graph learning; probably approximately correct learning; query learning and algorithmic teaching; on-line learning; inductive inference; reinforcement learning; and on-line learning and kernel methods.
Catégories:
Année:
2010
Edition:
1st Edition.
Editeur::
Springer
Langue:
english
Pages:
434
ISBN 10:
3642161073
ISBN 13:
9783642161070
Collection:
Lecture Notes in Artificial Intelligence 6331
Fichier:
PDF, 4.15 MB
IPFS:
,
english, 2010
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