284 search results - page 11 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
IJAR
2006
14 years 9 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
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NECO
2002
14 years 9 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
JCB
2006
14 years 9 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...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
IPMU
2010
Springer
14 years 8 months ago
2010
Springer
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...