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Algorithmic Learning Theory
. Ed(S): Bshouty, Nader; Stoltz, Gilles; Vayatis, Nicolas; Zeugmann, Thomas
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Description for Algorithmic Learning Theory
Paperback. Constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. Editor(s): Bshouty, Nader; Stoltz, Gilles; Vayatis, Nicolas; Zeugmann, Thomas. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 393 pages, 23 black & white illustrations, biography. BIC Classification: UMB; UYA; UYQ; UYQP; UYZG. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 554.
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.
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.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
393
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
381
Place of Publication
Berlin, Germany
ISBN
9783642341052
SKU
V9783642341052
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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