Description
Learning Theory, 2006
19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings
Coll. Lecture Notes in Artificial Intelligence
Coordinators: Simon Hans Ulrich, Lugosi Gábor
Language: FrenchSubjects for Learning Theory:
Keywords
Clustering stability; Support Vector Machine; algorithmic learning; classification; computational learning; decision theory; game theory; inductive inference; kernel method; kernel methods; learning methods; machine learning; reinforcement learning; stability; supervised learning; algorithm analysis and problem complexity
660 p. · 15.5x23.5 cm · Paperback
Description
/li>Contents
/li>Comment
/li>
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006.
The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.
Proceedings of the 19th Annual Conference on Learning Theory, COLT 2006
Presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures
Coverage includes clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more