Algorithmic Learning Theory: 6th International Workshop,ALT '95 Fukuoka, Japan, October 18–20, 1995 Proceedings
Yasubumi Sakakibara (auth.), Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann (eds.)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.
Categories:
Year:
1995
Edition:
1
Publisher:
Springer-Verlag Berlin Heidelberg
Language:
english
Pages:
324
ISBN 10:
3540604545
ISBN 13:
9783540604549
Series:
Lecture Notes in Computer Science 997 : Lecture Notes in Artificial Intelligence
File:
DJVU, 3.08 MB
IPFS:
,
english, 1995
This book isn't available for download due to the complaint of the copyright holder