144 search results - page 5 / 29 » A chain-model genetic algorithm for Bayesian network structu... |
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
ICEIS
2005
IEEE
14 years 1 months ago
2005
IEEE
ASC
2006
13 years 7 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
ICDM
2003
IEEE
14 years 29 days ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
IJCAI
2001
13 years 9 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...