Steve Hanneke

Theory of Disagreement-Based Active Learning - Foundations and Trends (R) in Machine Learning Steve Hanneke

Describes recent advances in our understanding of the theoretical benefits of active learning, and implications for the design of effective active learning algorithms. Much of the book focuses on a particular technique - disagreement-based active learning. It also briefly surveys several alternative approaches from the literature.