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Algorithmic Learning Theory

Algorithmic Learning Theory

27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings

by Hans Ulrich SimonSandra Zilles and Ronald Ortner
Paperback
Publication Date: 12/11/2016

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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.
ISBN:
9783319463780
9783319463780
Category:
Pattern recognition
Format:
Paperback
Publication Date:
12-11-2016
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Pages:
371
Dimensions (mm):
235x155x21mm
Weight:
5.91kg

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