215 search results - page 16 / 43 » Cuts in Bayesian graphical models |
128
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JMLR
2010
14 years 7 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
101
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BMCBI
2007
15 years 16 days ago
2007
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
117
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UAI
2004
15 years 1 months ago
2004
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
106
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SCVMA
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. In this paper we present a generative model for image sequences, which can be applied to motion segmentation and tracking, and to image sequence compression. The model co...
103
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BMCBI
2007
15 years 20 days ago
2007
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...