Special Issue on

Algorithmic Learning Theory

for ALT 2000 in

Theoretical Computer Science

ALT 00 Logo

appeared as:

Theoretical Computer Science, Volume 348, Issue 1, December 2005.

The Special Issue on Algorithmic Learning Theory for ALT 2000 has been edited by Hiroki Arimura and Sanjay Jain.

Table of Contents

H. Arimura and S. Jain.

pp. 1-2

Osamu Watanabe,
Sequential sampling techniques for algorithmic learning theory,

pp. 3-14

Steffen Lange, Gunter Grieser and Thomas Zeugmann,
Inductive inference of approximations for recursive concepts,
pp. 15-40

Jochen Nessel and Steffen Lange,
Learning erasing pattern languages with queries,
pp. 41-57

Ken Satoh,
Learning taxonomic relation by case-based reasoning,
pp. 58-69

François Denis, Rémi Gilleron and Fabien Letouzey,
Learning from positive and unlabeled examples,
pp. 70-83

Kouichi Hirata,
Prediction-hardness of acyclic conjunctive queries,
pp. 84-94

Bhaskar DasGupta and Barbara Hammer,
On approximate learning by multi-layered feedforward circuits,
pp. 95-127

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