Shawe-Taylor, J and Singer, Y (2004) Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004. Lecture Notes in Computer Science (LNCS, LNAI): Vol.3120. Springer
Full text not available from this repository.
Abstract
This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems
| Type: | Book |
|---|---|
| Title: | Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004 |
| ISBN: | 3-540-22282-0 |
| Keywords: | algorithmic learning, bayesian networks, computational learning, decision theory, game theory, inductive inference, Kernel Methods, learning theory, machine learning, online learning, statistical learning, Support Vector Machine |
| UCL classification: | UCL > School of BEAMS > Faculty of Engineering Science > Computer Science |
Archive Staff Only: edit this record

