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

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Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings By Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (auth.), Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann (eds.)
2013 | 397 Pages | ISBN: 3642409342 | PDF | 5 MB
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.

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