1423 search results - page 204 / 285 » Object-Oriented Bayesian Networks |
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GECCO
2008
Springer
15 years 1 months ago
2008
Springer
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
111
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JMLR
2006
15 years 19 days ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
111
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JCB
2002
15 years 10 days ago
2002
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
123
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JMLR
2010
14 years 7 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
138
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BMCBI
2010
15 years 24 days ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...