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DLOG
1998
15 years 6 months ago
Learning Composite Concepts
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
Patrick Lambrix, Pierpaolo Larocchia
108
Voted
AAAI
1997
15 years 6 months ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley
86
Voted
COLING
1996
15 years 6 months ago
Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
Walter Daelemans, Peter Berck, Steven Gillis
ITICSE
2006
ACM
15 years 11 months ago
Approaches to teaching the programming languages course: a potpourri
The release of Curriculum 2001 coupled with the increasing importance of the World Wide Web and the changes in pedagogy enabled by new technologies has made the choices about what...
Elizabeth S. Adams, Doug Baldwin, Judith Bishop, J...
133
Voted
COLT
1989
Springer
15 years 9 months ago
Learning in the Presence of Inaccurate Information
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
Mark A. Fulk, Sanjay Jain