241 search results - page 6 / 49 » Parameter learning for relational Bayesian networks |
ECAI
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
107
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ICMLA
2009
14 years 7 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
63
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PRL
2006
14 years 9 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
AIED
2007
Springer
15 years 3 months ago
2007
Springer
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...