Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8776)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ALT: International Conference on Algorithmic Learning Theory
Conference proceedings info: ALT 2014.
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Table of contents (24 papers)
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Front Matter
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Regular Contributions
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Online Learning and Learning with Bandit Information
About this book
Keywords
- Kolmogorov complexity
- algorithmic learning theory
- artificial intelligence
- bandit theory
- computational complexity
- inductive inference
- machine learning theory
- online learning
- query learning
- reinforcemant learning
- semi-supervised learning
- statistical learning theory
- theory and algorithms for application domanins
- theory of computation
Editors and Affiliations
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Montanuniversitaet Leoben, Leoben, Austria
Peter Auer
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Department of Philosophy, King’s College, London, UK
Alexander Clark
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Division of Computer Science, Hokkaido University, Sapporo, Japan
Thomas Zeugmann
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Department of Computer Science, University of Regina, Regina, Canada
Sandra Zilles
Bibliographic Information
Book Title: Algorithmic Learning Theory
Book Subtitle: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings
Editors: Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-11662-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-11661-7Published: 23 September 2014
eBook ISBN: 978-3-319-11662-4Published: 01 October 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 351
Number of Illustrations: 22 b/w illustrations
Topics: Artificial Intelligence, Theory of Computation, Data Mining and Knowledge Discovery, Pattern Recognition