Auer / Clark / Zeugmann Algorithmic Learning Theory

25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings
Erscheinungsjahr 2014
ISBN: 978-3-319-11662-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 351 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Auer, Peter

Clark, Alexander

Zeugmann, Thomas

Zilles, Sandra

Inhaltsverzeichnis

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