Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004
Shawe-Taylor, John and Singer, Yoram (eds.) (2004) Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004, Springer (Lecture Notes in Computer Science (LNCS, LNAI), 3120).
Full text not available from this repository.
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.
|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|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science
|Date Deposited:||03 Sep 2004|
|Last Modified:||02 Mar 2012 13:20|
|Contributors:||Shawe-Taylor, John (Editor)
Singer, Yoram (Editor)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)