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.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.

[Edit]