Special Issue on

Algorithmic Learning Theory

for ALT 2006 in

Theoretical Computer Science

ALT 06 Logo

appeared as:


Theoretical Computer Science, Volume 405, Issue 3, Oct. 17, 2008.

The Special Issue on Algorithmic Learning Theory (ALT 2006) has been edited by Phil Long and Frank Stephan.


Table of Contents

Phil Long and Frank Stephan.
Preface,

pp. 207-208


Alp Atıcı and Rocco A. Servedio.
Learning unions of ω(1)-dimensional rectangles,
Abstract.

pp. 209-222


Leonid (Aryeh) Kontorovich, Corinna Cortes, and Mehryar Mohri.
Kernel methods for learning languages,
Abstract.
pp. 223-236


Andreas Maurer.
Unsupervised slow subspace-learning from stationary processes,
Abstract.
pp. 237-255


Jan Poland
Consistency of discrete Bayesian learning,
Abstract.
pp. 256-273


Daniil Ryabko and Marcus Hutter.
On the possibility of learning in reactive environments with arbitrary dependence,
Abstract.
pp. 274-284


Vladimir Vovk.
Leading strategies in competitive on-line prediction,
Abstract.
pp. 285-296


uparrowback to the ALT Archives page

Valid HTML 4.1!