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