Special Issue on

Algorithmic Learning Theory

for ALT '99 in

Theoretical Computer Science

ALT 99 Logo

Theoretical Computer Science Volume 288, Issue 2, September 2002.

The Special Issue on Algorithmic Learning Theory for ALT '99 has been edited by Osamu Watanabe and Arun Sharma.

Table of Contents

Osamu Watanabe and Arun Sharma.

pp. 195 - 196.

José L. Balcázar, Jorge Castro, David Guijarro and Hans-Ulrich Simon
The Consistency Dimension and Distribution-Dependendent Learning from Queries,

pp. 197 - 215

Eiji Takimoto and Manfred K. Warmuth
Predicting Nearly as Well as the Best Pruning of a Planar Decision Graph,
pp. 217 - 235

Sally A. Goldman and Stephen S. Kwek
On Learning Unions of Pattern Languages and Tree Patterns in the Mistake Bound Model,
pp. 237 - 254

Nader H. Bshouty, Nadav Eiron and Eyal Kushilevitz
PAC Learning with Nasty Noise,
pp. 255 - 275

Steffen Lange and Gunter Grieser
On the Power of Incremental Learning,
pp. 277 - 307

Frank Stephan and Thomas Zeugmann
Learning Classes of Approximations to Non-Recursive Functions,

pp. 309 - 341

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