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

Klaus P. Jantke

ISBN 10: 3540604545 / ISBN 13: 9783540604549

Published by Springer, Springer, 1995

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540604549

Bibliographic Details

• Title: Algorithmic Learning Theory : 6th International Workshop, ALT '95, Fukuoka, Japan, October 18 - 20, 1995. Proceedings
• Publisher: Springer, Springer
• Publication Date: 1995
• Language: English
• ISBN 10: 3540604545
• ISBN 13: 9783540604549
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 522 grams

About this title

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.