ENGLISH

Algorithmic Learning Theory: 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings

By Marcus Hutter , Thomas Zeugmann , Frank Stephan , Vladimir Vovk

Book information

Publisher
Springer
Year
2010
ISBN
3642161073, 9783642161070
Google Books ID
nEBfBghRSgsC
Language
english
Format
PDF
Filesize
4 MB (4346950 bytes)
Series
Lecture Notes in Artificial Intelligence 6331
Edition
1st Edition.
Pages
434\434
Orientation
yes
Scanned
no
Time added
2012-02-04 16:00:00

Description

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. 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.

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