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Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings (Lecture Notes in Artificial Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.80
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Algorithmic Learning Theory : 26th International Conference, Alt 2015
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Algorithmic Learning Theory: 26th International Conference, Alt 2015
Language: English
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 331924485X ISBN 13: 9783319244853
Paperback. Condition: Brand New. 416 pages. 9.25x6.10x0.73 inches. In Stock.
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Taschenbuch. Condition: Neu. Algorithmic Learning Theory | 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings | Kamalika Chaudhuri (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2015 | Springer | EAN 9783319244853 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Algorithmic Learning Theory : 26th International Conference, Alt 2015
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
