339 search results - page 14 / 68 » Approximate Inference in Probabilistic Graphical Models with... |
BMCBI
2007
14 years 9 months 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...
96
Voted
NIPS
2008
14 years 11 months ago
2008
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
BIOINFORMATICS
2006
14 years 9 months ago
2006
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
79
Voted
PAMI
2010
14 years 8 months ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...