49 search results - page 4 / 10 » Exact model averaging with naive Bayesian classifiers |
DATAMINE
2010
13 years 7 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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
ML
2008
ACM
13 years 7 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
IJCAI
2003
13 years 8 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...