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Machine learning : ECML-97 / edited by Maarten van Someren & Gerhard Widmer. - Berlin ; Hong Kong ; Tokyo ; New York : Springer, c1997. - xi, 361 p. : ill. ; 24 cm. - Lecture notes in artificial intelligence Vol.1224 . - Lecture notes in computer science ; 1224. Lecture notes in computer science. Lecture notes in artificial intelligence. .

Contents

I Invited papers
Uncertain learning agents ( abstract )
Constructing and sharing perceptual distinctions
On prediction by data compression

II Regular papers
Induction of feature terms with INDIE
Exploiting qualitative knowledge to enhance skill acquisition
Integrated learning and planning based on truncation
Submission for structural matching
Classification by voting feature intervals
etc.

III Workshop position papers
Case-based learning: Beyond classification of feature vectors
Empirical learning of natural language processing tasks
Human-agent interaction and machine learning
Learning in dynamically changing domains: Theory revision and context dependence issues

References : p. 359-360 . _ Author index : p. 361

ISBN: 9783540628583 3540628584 (softcover : alk. paper)

LCCN: 97013121

Subjects--Topical Terms:
Machine learning
Artificial intelligence

Dewey Class. No.: 006.3 / SOM