1355 search results - page 169 / 271 » Bayesian networks |
124
click to vote
ACMSE
2006
ACM
15 years 10 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...
129
click to vote
ICML
2008
IEEE
16 years 5 months 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...
166
click to vote
BMCBI
2005
15 years 4 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 ...
137
click to vote
VTC
2007
IEEE
15 years 10 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...
164
click to vote
ICML
2010
IEEE
15 years 5 months 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...