60 search results - page 3 / 12 » Bayesian inference for differential equations |
VISAPP
2007
13 years 8 months ago
2007
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
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C code implementation of several math algorithms such as Linear Algebraic Equations,
Interpolation and Extrapolation, Integration of Functions, Evaluation of Functions, Random Num...
BMCBI
2007
13 years 7 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
BMCBI
2008
13 years 7 months ago
2008
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...