Algorithmic Learning Theory [E-Book]: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings / edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann.
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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Personal Name(s): | Bshouty, Nader H. |
Stoltz, Gilles. / Vayatis, Nicolas. / Zeugmann, Thomas. | |
Imprint: |
Berlin, Heidelberg :
Springer Berlin Heidelberg :
2012
Imprint: Springer, |
Physical Description: |
XII, 381 p. 23 illus. digital. |
Note: |
englisch |
ISBN: |
9783642341069 |
DOI: |
10.1007/978-3-642-34106-9 |
Series Title: |
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Lecture notes in computer science ;
7568 |
Subject (LOC): |
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. |