101 search results - page 10 / 21 » Parametric Structure of Probabilities in Bayesian Networks |
JMLR
2006
13 years 7 months ago
2006
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
VLSID
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
UAI
1996
13 years 8 months ago
1996
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
UAI
2001
13 years 9 months ago
2001
This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
BMCBI
2010
13 years 7 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...