Mixture Approximations to Bayesian Networks.
Volker TrespMichael HaftReimar HofmannPublished in: UAI (1999)
Keyphrases
- bayesian networks
- mixture model
- probabilistic reasoning
- conditional independence
- probabilistic model
- incomplete data
- learning bayesian networks
- structure learning
- conditional probabilities
- closed form
- probability distribution
- graphical models
- probabilistic inference
- gaussian mixture model
- expectation maximization
- expert knowledge
- parameter learning
- diagnostic reasoning
- inference in bayesian networks
- density estimation
- decision trees
- approximate inference
- naive bayes
- dynamic bayesian networks
- variational methods
- structural models
- bayesian network inference
- multiply sectioned bayesian networks