Algorithmic Learning Theory

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

Table of Contents

Chapter 1 Invited Papers
Chapter 2 Inductive Inference
Chapter 3 Regression
Chapter 4 Bandit Problems
Chapter 5 Online Learning
Chapter 6 Kernel and Margin Based Methods
Chapter 7 Intelligent Agents
Chapter 8 Other Learning Models
Chapter 9 Erratum