132 search results - page 7 / 27 » Context-specific approximation in probabilistic inference |
CIMCA
2005
IEEE
14 years 3 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
NIPS
2003
13 years 11 months ago
2003
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
CMSB
2009
Springer
14 years 4 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
UAI
2003
13 years 11 months ago
2003
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
IJAR
2008
13 years 9 months ago
2008
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...