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ICCE
2007
14 years 11 months ago
2007
: Course generation knowledge, i.e., how to assemble a sequence of learning objects which is adapted to a learner’s goals, competencies and preferences, is hard to assess and exp...
IJCAI
2007
14 years 11 months ago
2007
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
IJCAI
2007
14 years 11 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
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NIPS
2008
14 years 11 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
NIPS
2007
14 years 11 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...