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ML
2012
ACM
1 months 3 days ago
2012
ACM
ML
2012
ACM
1 months 3 days ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
ML
2012
ACM
1 months 3 days ago
2012
ACM
ML
2012
ACM
1 months 3 days ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
ML
2012
ACM
1 months 3 days ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
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648
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Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
ICALT
2011
IEEE
5 months 6 days ago
2011
IEEE
Abstract—This work proposes a novel approach - personalized forecasting - to take into account the sequential effect in predicting student performance (PSP). Instead of using all...
ICALT
2011
IEEE
5 months 6 days ago
2011
IEEE
—this work addresses issues relevant to the project CLES (Cognitive and Linguistic Element Stimulation) which aims to develop a serious game for diagnosis and training of childre...
ECTEL
2011
Springer
5 months 11 days ago
2011
Springer
This paper presents a customizable system used to develop a collaborative multi-user problem solving game. It addresses the increasing demand for appealing informal learning experi...
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