50 search results - page 9 / 10 » When Discriminative Learning of Bayesian Network Parameters ... |
DATAMINE
2010
13 years 6 months ago
2010
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
EMNLP
2009
13 years 4 months ago
2009
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
ICML
2003
IEEE
14 years 7 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...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...