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» Learning Rules to Improve a Machine Translation System
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111
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ICML
2002
IEEE
16 years 4 months ago
Reinforcement Learning and Shaping: Encouraging Intended Behaviors
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
Adam Laud, Gerald DeJong
140
Voted
DRR
2009
15 years 1 months ago
Figure content analysis for improved biomedical article retrieval
Biomedical images are invaluable in medical education and establishing clinical diagnosis. Clinical decision support (CDS) can be improved by combining biomedical text with automa...
Daekeun You, Emilia Apostolova, Sameer Antani, Din...
125
Voted
ECTEL
2008
Springer
15 years 5 months ago
CoChemEx: Supporting Conceptual Chemistry Learning Via Computer-Mediated Collaboration Scripts
Chemistry students, like students in other disciplines, often learn to solve problems by applying well-practiced procedures. Such an approach, however, may hinder conceptual unders...
Dimitra Tsovaltzi, Nikol Rummel, Niels Pinkwart, A...
143
Voted
ICML
2010
IEEE
15 years 4 months ago
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
Bin Cao, Nathan Nan Liu, Qiang Yang
147
Voted
ECAI
2010
Springer
15 years 4 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...