994 search results - page 5 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
IJAR
2006
14 years 11 months ago
2006
We describe in this paper a system for exact inference with relational Bayesian networks as defined in the publicly available Primula tool. The system is based on compiling propos...
100
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NIPS
2004
15 years 1 months ago
2004
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
102
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ECAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
170
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UAI
2008
15 years 1 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
JCB
2006
14 years 11 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...