Algorithmic Learning Theory [electronic resource] :25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings /
Contributor(s): Auer, Peter [editor.] | Clark, Alexander [editor.] | Zeugmann, Thomas [editor.] | Zilles, Sandra [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 8776Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014.Description: XVIII, 351 p. 22 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319116624.Subject(s): Computer science | Computers | Data mining | Artificial intelligence | Pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Theory of Computation | Data Mining and Knowledge Discovery | Pattern RecognitionOnline resources: Click here to access online
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.