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内容説明
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory， COLT 2006， held in Pittsburgh， Pennsylvania， USA in June 2006. The 43 revised full papers presented together with 2 articles on open problems and 3 invited lectures were carefully reviewed and selected from a total of 102 submissions. The papers cover a wide range of topics including clustering， un- and semisupervised learning， statistical learning theory， regularized learning and kernel methods， query learning and teaching， inductive inference， learning algorithms and limitations on learning， online aggregation， online prediction and reinforcement learning.