Algorithmic Learning Theory - 6th International Workshop, ALT '95, Fukuoka, Japan, October 18 - 20, 1995. Proceedings (Paperback, 1995 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 997
Release date:	October 1995
First published:	1995
Editors:	Klaus P. Jantke • Takeshi Shinohara • Thomas Zeugmann
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	324
Edition:	1995 ed.
ISBN-13:	978-3-540-60454-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-540-60454-5
Barcode:	9783540604549

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