PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

ALT '07 Special Issue
Marcus Hutter and R.A. Servedio
Theoretical Computer Science Volume 410, Number 19, pp. 1747-1912, 2009.

Abstract

This special issue contains expanded versions of papers that appeared in preliminary form in the proceedings of the 18th International Conference on Algorithmic Learning Theory (ALT 2007), which was held in Sendai, Japan during October 1--4, 2007. Algorithmic Learning Theory is a conference series which is dedicated to the theoretical study of the algorithmic aspects of learning. The best papers of the conference ALT 2007 were invited for this special issue and after a thorough reviewing process, most of them qualified for this Special Issue on Algorithmic Learning Theory of Theoretical Computer Science. The preface contains a short introduction to each of these papers.

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EPrint Type:Article
Additional Information:This special issue was edited and prefaced by the authors listed.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:5844
Deposited By:Marcus Hutter
Deposited On:08 March 2010