Algorithmic Learning Theory 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings / [electronic resource] :
edited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles.
- XVIII, 351 p. 22 illus. online resource.
- Lecture Notes in Computer Science, 8776 0302-9743 ; .
- Lecture Notes in Computer Science, 8776 .
Inductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity.
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.
9783319116624
10.1007/978-3-319-11662-4 doi
Computer science.
Computers.
Data mining.
Artificial intelligence.
Pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Theory of Computation.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3
Inductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity.
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.
9783319116624
10.1007/978-3-319-11662-4 doi
Computer science.
Computers.
Data mining.
Artificial intelligence.
Pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Theory of Computation.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3