1355 search results - page 55 / 271 » Bayesian networks |
122
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ECAI
2006
Springer
15 years 7 months ago
2006
Springer
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
147
Voted
IJCAI
2003
15 years 5 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
126
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JMLR
2010
14 years 10 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
157
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
127
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WWW
2009
ACM
16 years 4 months ago
2009
ACM
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...