26 search results - page 2 / 6 » Bayesian inference for a discretely observed stochastic kine... |
119
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ECCB
2003
IEEE
15 years 4 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
ICML
2009
IEEE
16 years 12 days ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
100
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ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
130
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ESOP
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
BMCBI
2006
14 years 11 months ago
2006
Background: Character mapping on phylogenies has played an important, if not critical role, in our understanding of molecular, morphological, and behavioral evolution. Until very ...