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Title: ALGORITHMIC LEARNING THEORY
27TH INTERNATIONAL CONFERENCE, ALT 2016, BARI, ITALY, OCTOBER 19-21, 2016, PROCEEDINGS
Volume: 2016
By: Ronald Ortner (Editor), Hans Ulrich Simon (Editor), Sandra Zilles (Editor)
Format: Paperback

List price: £44.99
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ISBN 10: 3319463780
ISBN 13: 9783319463780
Availability: Usually dispatched within 1-3 weeks.
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Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 21 September, 2016
Series: Lecture Notes in Computer Science 9925
Pages: 371
Synopsis: This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering.
Illustrations: 21 black & white illustrations, biography
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
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