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|a 9783642244124
|9 978-3-642-24412-4
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|a 10.1007/978-3-642-24412-4
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a COM004000
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|a 006.3
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|a Algorithmic Learning Theory
|h [electronic resource] :
|b 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings /
|c edited by Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
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|a XIII, 453 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6925
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|a 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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|a Computer science.
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|a Computers.
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|a Algorithms.
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|a Computer logic.
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|a Mathematical logic.
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|a Artificial intelligence.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Mathematical Logic and Formal Languages.
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|a Algorithm Analysis and Problem Complexity.
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|a Computation by Abstract Devices.
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|a Logics and Meanings of Programs.
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|a Information Systems Applications (incl. Internet).
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|a Kivinen, Jyrki.
|e editor.
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|a Szepesvári, Csaba.
|e editor.
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|a Ukkonen, Esko.
|e editor.
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|a Zeugmann, Thomas.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642244117
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6925
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|u http://dx.doi.org/10.1007/978-3-642-24412-4
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
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