186 search results - page 13 / 38 » Ontology-Based Generation of Bayesian Networks |
117
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ICC
2007
IEEE
15 years 8 months ago
2007
IEEE
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
127
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ICDM
2002
IEEE
15 years 6 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
109
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ACL
2010
14 years 12 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
128
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NIPS
2008
15 years 3 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
113
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ICA
2004
Springer
15 years 7 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...