Algorithmic learning theory [electronic resource] : 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings / edited by Kamalika Chaudhuri, Claudio Gentile, Sandra Zilles.
ALT (Conference) (26th : 2015 : Banff, Alta.); Chaudhuri, Kamalika, editor.; Gentile, Claudio, editor.; Zilles, Sandra, editor.
2015
Q334
Available Online

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Title Algorithmic learning theory [electronic resource] : 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings / edited by Kamalika Chaudhuri, Claudio Gentile, Sandra Zilles.
Meeting Name ALT (Conference) (26th : 2015 : Banff, Alta.)
ISBN 9783319244860 electronic book
3319244868 electronic book
9783319244853
DOI https://doi.org/10.1007/978-3-319-24486-0
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xvii, 395 pages) : illusrations.
Item Number 10.1007/978-3-319-24486-0 doi
Call Number Q334
Dewey Decimal Classification 006.3
Summary This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Chaudhuri, Kamalika, editor.
Gentile, Claudio, editor.
Zilles, Sandra, editor.
Series Lecture notes in computer science ; 9355.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form Print version: 9783319244853
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Inductive inference
Learning from queries, teaching complexity
Computational learning theory and algorithms
Statistical learning theory and sample complexity
Online learning
Stochastic optimization
Kolmogorov complexity, algorithmic information theory.

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