553 search results - page 26 / 111 » Bayesian network learning algorithms using structural restri... |
88
Voted
ISMDA
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Due to the uncertain nature of many of the factors that influence on the performance of an emergency medical service, we propose using Bayesian networks to model this ki...
UAI
2004
14 years 11 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
IDA
2005
Springer
15 years 3 months ago
2005
Springer
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
108
Voted
BMCBI
2008
14 years 8 months ago
2008
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
89
Voted
NECO
2008
14 years 9 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...