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» Learning and Inference with Constraints
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EWCBR
2008
Springer
13 years 11 months ago
Forgetting Reinforced Cases
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
Houcine Romdhane, Luc Lamontagne
AAAI
2010
13 years 11 months ago
Collaborative Expert Portfolio Management
We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a...
David H. Stern, Horst Samulowitz, Ralf Herbrich, T...
AAAI
2010
13 years 11 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu
COLING
2008
13 years 11 months ago
A Supervised Algorithm for Verb Disambiguation into VerbNet Classes
VerbNet (VN) is a major large-scale English verb lexicon. Mapping verb instances to their VN classes has been proven useful for several NLP tasks. However, verbs are polysemous wi...
Omri Abend, Roi Reichart, Ari Rappoport
ECSCW
2007
13 years 11 months ago
A safe space to vent: Conciliation and conflict in distributed teams
: This paper considers the nature of conflict in relation to the environments within which distributed teams cooperate. Effective conflict management can bring great benefits to di...
Matt Billings, Leon Adam Watts