Algorithmic learning theory : 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /

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Bibliographic Details
Meeting name:	ALT (Conference) (26th : 2015 : Banff, Alta.)
Imprint:	Cham : Springer, 2015.
Description:	1 online resource (xvii, 395 pages) : illustrations.
Language:	English
Series:	Lecture Notes in Computer Science, 0302-9743 ; 9355 Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science ; 9355. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Computer algorithms -- Congresses. Machine learning -- Congresses. Computer science. Computers. Data mining. Artificial intelligence. Pattern perception. Artificial intelligence. Computer algorithms. Computer science. Computers. Data mining. Machine learning. Pattern perception. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11096950

Hidden Bibliographic Details
Other authors / contributors:	Chaudhuri, Kamalika, editor. Gentile, Claudio, editor. Zilles, Sandra, 1976- editor.
ISBN:	9783319244860 3319244868 9783319244853 331924485X
Digital file characteristics:	text file PDF
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.
Other form:	Printed edition: 9783319244853
Standard no.:	10.1007/978-3-319-24486-0

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