Special Issue on

Algorithmic Learning Theory

for AII '94 and ALT '94 in

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Annals of Mathematics and Artificial Intelligence, Vol. 23, No. 1,2 1998

The Special Issue on Algorithmic Learning Theory for AII '94 and ALT '94 in Annals of Mathematics and Artificial Intelligence has been edited by M.M. Richter.

Table of Contents

Sanjay Jain and Arun Sharma,
Generalization and specialization strategies for learning r.e. languages, 1 - 26.

Steffen Lange, Jochen Nessel and Rolf Wiehagen,
Learning recursive languages from good examples, 27 - 52.

Atsuyoshi Nakamura, Jun-ichi Takeuchi and Naoki Abe,
Efficient distribution-free population learning of simple concepts, 53 - 82.

Peter Auer and Nicolò Cesa-Bianchi,
On-line learning with malicious noise and the closure algorithm, 83 - 99.

Hiroki Ishizaka, Hiroki Arimura and Takeshi Shinohara,
Finding tree patterns consistent with positive and negative examples using queries, 101 - 115.

Thomas Zeugmann,
Lange and Wiehagen's pattern language learning algorithm: An average-case analysis with respect to its total learning time, 117 - 145.

William Gasarch, Mark G. Pleszkoch, Frank Stephan
and Mahendran Velauthapillai,
Classification using information, 147 - 168.

Yoshiaki Okubo and Makoto Haraguchi,
Constructing predicate mappings for goal-dependent abstraction, 169 - 197.

Rusins Freivalds, Ognian Botuscharov and Rolf Wiehagen,
Identifying nearly minimal Gödel numbers from additional information, 199 - 209.

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