174 search results - page 9 / 35 » Update Rules for Parameter Estimation in Bayesian Networks |
UAI
2004
13 years 10 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
LION
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...