Algorithmic Learning Theory: 6th International Workshop, ALT '95, Fukuoka, Japan, October 18 - 20, 1995. Proceedings: 997 (Lecture Notes in Computer Science)

Algorithmic Learning Theory: 6th International Workshop, ALT '95, Fukuoka, Japan, October 18 - 20, 1995. Proceedings: 997 (Lecture Notes in Computer Science)

by Thomas Zeugmann (Author), Klaus P. Jantke (Author), Takeshi Shinohara (Author)

Synopsis

This book constitutes the refereed proceedings of the 6th International Workshop on Algorithmic Learning Theory, ALT '95, held in Fukuoka, Japan, in October 1995.
The book contains 21 revised full papers selected from 46 submissions together with three invited contributions. It covers all current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational logic aspects, inductive inference, learning via queries, artificial and biologicial neural network learning, pattern recognition, learning by analogy, statistical learning, inductive logic programming, robot learning, and gene analysis.

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More Information

Format: Paperback
Pages: 344
Edition: 1995
Publisher: Springer
Published: 13 Jun 2008

ISBN 10: 3540604545
ISBN 13: 9783540604549
Book Overview: Springer Book Archives