150 search results - page 7 / 30 » Modelling Multiagent Bayesian Networks with Inclusion Depend... |
JMLR
2010
13 years 2 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
IBERAMIA
1998
Springer
13 years 11 months ago
1998
Springer
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based o...
BMCBI
2007
13 years 7 months ago
2007
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
ISLPED
2004
ACM
14 years 27 days ago
2004
ACM
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...