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ICCBR
2005
Springer
16 years 7 days ago
Learning Semantic Annotations for Textual Cases
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
ICALT
2003
IEEE
16 years 18 hour ago
Learning Resources Brokerage Systems: An Agent-Based Virtual Market Model
This paper discusses issues related with learning resources brokerage systems. It introduces a market-based modeling approach and proposes a virtual market model design of a broke...
Nikos Manouselis, Demetrios G. Sampson
ECML
2000
Springer
15 years 11 months ago
Layered Learning
We examine how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compres...
Peter Stone, Manuela M. Veloso
172
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COLT
1993
Springer
15 years 10 months ago
Piecemeal Learning of an Unknown Environment
We introducea new learningproblem: learninga graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two l...
Margrit Betke, Ronald L. Rivest, Mona Singh
ECML
2006
Springer
15 years 8 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel