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Algorithmic Learning Theory

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

Language EnglishEnglish
Book Paperback
Book Algorithmic Learning Theory Nader H. Bshouty
Libristo code: 01662368
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, September 2012
This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic L... Full description
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51.68 €
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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.

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About the book

Full name Algorithmic Learning Theory
Author Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 381
EAN 9783642341052
ISBN 3642341055
Libristo code 01662368
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 605
Dimensions 155 x 235 x 22

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Computer architecture & logic design
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