ENGLISH

Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings

By Thomas Zeugmann (eds.) , Jyrki Kivinen , Thomas Zeugmann (auth.) , Csaba Szepesvári , Esko Ukkonen

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
ISBN
978-3-642-24411-7, 978-3-642-24412-4
DOI
10.1007/978-3-642-24412-4
Language
english
Format
PDF
Filesize
9 MB (8931604 bytes)
Series
Lecture Notes in Computer Science 6925
Edition
1
Pages
453\464
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics); Mathemat

Description

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

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