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Algorithmic Learning Theory Peter Auer

Algorithmic Learning Theory By Peter Auer

Algorithmic Learning Theory by Peter Auer


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Summary

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. online learning and learning with bandit information; statistical learning theory;

Algorithmic Learning Theory Summary

Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings by Peter Auer

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.

Table of Contents

Inductive Inference.- Exact Learning from Queries.- Reinforcement Learning.- Online Learning and Learning with Bandit Information.- Statistical Learning Theory.- Privacy, Clustering, MDL, and Kolmogorov Complexity.

Additional information

NLS9783319116617
9783319116617
3319116614
Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings by Peter Auer
New
Paperback
Springer International Publishing AG
2014-09-23
351
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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