175 search results - page 27 / 35 » Learning Continuous Time Bayesian Networks |
IJAR
2010
14 years 8 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
83
Voted
EUROMICRO
1998
IEEE
15 years 1 months ago
1998
IEEE
The continuing explosive growth of the web has not been matched by an adequate enhancement of the infrastructure on which it depends. Both consumers and producers are often left f...
SUTC
2010
IEEE
15 years 1 months ago
2010
IEEE
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
78
Voted
UM
2001
Springer
15 years 1 months ago
2001
Springer
In an experimental environment, we simulated the situation of a user who gives speech input to a system while walking through an airport. The time pressure on the subjects and the ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...