Learning Theory 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings
Description
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.
Keywords
ComputersArtificial IntelligenceComputer ScienceInformation TechnologyMachine TheorySoftware Development & EngineeringProgrammingAlgorithmsUser InterfacesData ScienceMachine LearningMathematicsDiscrete MathematicsLogic
2006Book
Author(s)Hans Ulrich Simon
PublisherSpringer Science & Business Media
ISBN9783540352945
LanguageEnglish
