235 search results - page 4 / 47 » Compiling Bayesian Networks Using Variable Elimination |
UAI
1996
13 years 8 months ago
1996
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
CC
2009
Springer
14 years 8 months ago
2009
Springer
form uses a notational abstractions called -functions. These instructions have no analogous in actual machine instruction sets, and they must be replaced by ordinary instructions ...
IJAR
2006
13 years 7 months ago
2006
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
BMCBI
2008
13 years 7 months ago
2008
Background: Genes interact with each other as basic building blocks of life, forming a complicated network. The relationship between groups of genes with different functions can b...
IJCAI
1997
13 years 8 months ago
1997
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...