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Algorithmic Learning Theory

Algorithmic Learning Theory

23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings

by Nicolas VayatisGilles Stoltz Thomas Zeugmann and others
Paperback
Publication Date: 15/09/2012

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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.
ISBN:
9783642341052
9783642341052
Category:
Artificial intelligence
Format:
Paperback
Publication Date:
15-09-2012
Language:
English
Publisher:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Country of origin:
Germany
Pages:
381
Dimensions (mm):
235x155x20mm
Weight:
0.61kg

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