9 search results - page 1 / 2 » Identifiability in Causal Bayesian Networks: A Sound and Com... |
AAAI
2006
13 years 6 months ago
2006
UAI
2008
13 years 6 months ago
2008
We address the problem of identifying dynamic sequential plans in the framework of causal Bayesian networks, and show that the problem is reduced to identifying causal effects, fo...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
METMBS
2003
13 years 6 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...