1355 search results - page 169 / 271 » Bayesian networks |
ACMSE
2006
ACM
15 years 5 months ago
2006
ACM
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
ICML
2008
IEEE
16 years 17 days ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
118
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BMCBI
2005
14 years 11 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
100
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VTC
2007
IEEE
15 years 6 months ago
2007
IEEE
Current Driver Assistance Systems merely use a minimum set of information. By using additional information of the environment hazardous situations can be detected earlier, more re...
116
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ICML
2010
IEEE
15 years 25 days ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...