ENGLISH

Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings

By Thomas Zeugmann (eds.) , Thomas Zeugmann (auth.) , Nader H. Bshouty , Gilles Stoltz , Nicolas Vayatis

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
ISBN
978-3-642-34105-2, 978-3-642-34106-9
DOI
10.1007/978-3-642-34106-9
Language
english
Format
PDF
Filesize
8 MB (8699907 bytes)
Series
Lecture Notes in Computer Science 7568
Edition
1
Pages
381\390
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 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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