78 search results - page 5 / 16 » Being Bayesian about Network Structure |
WSC
1998
13 years 8 months ago
1998
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
KES
2007
Springer
14 years 1 months ago
2007
Springer
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...
IWINAC
2007
Springer
14 years 1 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
13 years 6 months ago
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...