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Algorithmic Learning Theory

Algorithmic Learning Theory 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings

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Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

Algorithmic Learning Theory

24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings

Sanjay Jain | Rémi Munos | Frank Stephan | Thomas Zeugmann

Computers / Artificial Intelligence / General

This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning.

Publication Date: 11 September 2013
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783642409349
Format: Paperback softback
Page Count: 397

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