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Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings (Paperback, 2012 ed.) Loot Price: R1,589
Discovery Miles 15 890
Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings...

Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings (Paperback, 2012 ed.)

Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann

Series: Lecture Notes in Artificial Intelligence, 7568

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Loot Price R1,589 Discovery Miles 15 890 | Repayment Terms: R149 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 7568
Release date: September 2012
First published: 2012
Editors: Nader H. Bshouty • Gilles Stoltz • Nicolas Vayatis • Thomas Zeugmann
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Paperback
Pages: 381
Edition: 2012 ed.
ISBN-13: 978-3-642-34105-2
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-34105-5
Barcode: 9783642341052

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