15 search results - page 1 / 3 » Explanation Trees for Causal Bayesian Networks |
UAI
2008
13 years 5 months ago
2008
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
AI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
BMCBI
2011
12 years 11 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
IJUFKS
2000
13 years 4 months ago
2000
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
AI
2006
Springer
13 years 4 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...