Algorithmic Learning Theory
23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Published on 1. October 2012
XII, 381 pages
978-3-642-34106-9 (ISBN)
Description
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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Nader H. Bshouty | Gilles Stoltz | Nicolas Vayatis
Algorithmic Learning Theory
23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Book
09/2012
Springer
€53.49
Shipment within 7-9 days
Content
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.
