Algorithmic Learning Theory

Author:
Edition: 2010
Publisher: Springer
Binding: Paperback
ISBN: 3642161073
Category: Programming
List Price: $ 95.00
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Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

This book constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, held in Canberra, Australia, in October 2010, co-located with the 13th International Conference on Discovery Science, DS 2010. Programming books Algorithmic Learning Theory pdf. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. Download books Induction, Algorithmic Learning Theory, and Philosophy pdf via mediafire, 4shared, rapidshare.

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Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings (Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence) by Frank Stephan, Marcus Hutter, Thomas Zeugmann, Vladimir Vovk

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This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.
Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy o

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Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004, Proceedings: Case J., David Sh. B., Maruoka A.

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Algorithmic Learning Theory, 7 conf., ALT '96

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| Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 1998 | 460 pages | ISBN-13: 9783540650133 | ISBN-10: 354065013X | You save 20%

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The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. The papers are divided into topical sections of papers on statistical learning; grammatical inference and graph learning; probably approximately correct learning; query learning and algorithmic teaching; on-line learning; inductive inference; reinforcement learning; and on-line learning and kernel methods. Download free Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) pdf