68 search results - page 1 / 14 » On the robustness of Bayesian networks to learning from non-... |
IJAR
2010
13 years 9 months ago
2010
AMAI
2008
Springer
13 years 11 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
KDD
2003
ACM
14 years 11 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...
HICSS
2007
IEEE
14 years 5 months ago
2007
IEEE
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
UAI
2003
14 years 10 days ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...