A New Genetic Approach to Structure Learning of Bayesian Networks.
Jaehun LeeWooyong ChungEuntai KimPublished in: ISNN (1) (2006)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network classifiers
- bayesian network structure learning
- markov logic networks
- structure learning algorithm
- bayesian network structures
- probabilistic reasoning
- markov blanket
- probability distribution
- bayesian network structure
- dynamic bayesian networks
- conditional probabilities
- markov networks
- continuous variables
- probabilistic inference
- posterior probability
- structure and parameter learning
- incomplete data
- transfer learning
- probabilistic graphical models
- sample size
- random variables
- parameter estimation
- approximate inference
- hidden variables
- naive bayes
- text classification