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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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Subjects
Computer algorithms, Machine learning, Artificial intelligence, Pattern perception, Artificial Intelligence (incl. Robotics), Computer science, Information theory, Data mining, Optical pattern recognition, Theory of Computation, Data Mining and Knowledge Discovery, Computer software, Logic design, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Logics and Meanings of Programs| Edition | Availability |
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Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings
Sep 23, 2014, Springer
paperback
3319116614 9783319116617
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2
Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings.
Mar 12, 2014, Springer
paperback
3662215349 9783662215340
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3
Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings
Sep 11, 2013, Springer
paperback
3642409342 9783642409349
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Book Details
Edition Notes
Source title: Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings (Lecture Notes in Computer Science (8139))
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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.
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