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Algorithmic Learning Theory = 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Algorithmic Learning Theory/ edited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles.
Reminder of title:	26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /
other author:	Chaudhuri, Kamalika.
Description:	XVII, 395 p. 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-24486-0
ISBN:	9783319244860

Algorithmic Learning Theory = 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /
Algorithmic Learning Theory26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /[electronic resource] :edited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles. - 1st ed. 2015. - XVII, 395 p. 26 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;9355. - Lecture Notes in Artificial Intelligence ;9285.

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.

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.

ISBN: 9783319244860

Standard No.: 10.1007/978-3-319-24486-0doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Algorithmic Learning Theory = 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /
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