2868 search results - page 318 / 574 » Inference in Bayesian Networks |
193
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
235
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AAAI
2011
14 years 6 months ago
2011
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
187
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CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
168
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CMSB
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. This paper presents a method for regulatory network reconstruction from experimental data. We propose a mathematical model for regulatory interactions, based on the work ...
184
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...