Algorithmic Learning Theory: 25th International Conference, Alt 2014, Bled, Slovenia, October 8-10, 2014, Proceedings

ISBN-13: 9783319116617 / Angielski / Miękka / 2014 / 351 str.

Peter Auer; Alexander Clark; Thomas Zeugmann

Opis

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.

Spis treści

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

O autorze

Alexander Clark is a Lecturer in the Department of Computer Science at Royal Holloway, University of London. He is the co-author, with Shalom Lappin, of Linguistic Nativism and the Poverty of the Stimulus (Wiley-Blackwell, 2010).