
Algorithmic Learning Theory
23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Springer (Publisher)
Published on 15. September 2012
Book
Paperback/Softback
XII, 381 pages
978-3-642-34105-2 (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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
23 s/w Abbildungen
XII, 381 p. 23 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 22 mm
Weight
598 gr
ISBN-13
978-3-642-34105-2 (9783642341052)
DOI
10.1007/978-3-642-34106-9
Schweitzer Classification
Other editions
Additional editions

Nader H. Bshouty | Gilles Stoltz | Nicolas Vayatis
Algorithmic Learning Theory
23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
E-Book
10/2012
Springer
€53.49
Available for download
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.