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113
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
94
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
118
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
94
Voted
ALT
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...
135
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ECTEL
2008
Springer
15 years 2 months ago
2008
Springer
Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. F...