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Theory of Disagreement-Based Active Learning - Foundations and Trends (R) in Machine Learning
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.
198 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | June 12, 2014 |
ISBN13 | 9781601988089 |
Publishers | now publishers Inc |
Pages | 198 |
Dimensions | 156 × 234 × 11 mm · 285 g |
Language | English |
See all of Steve Hanneke ( e.g. Paperback Book )