Mixture Approximations to Bayesian Networks
Volker TrespMichael HaftReimar HofmannPublished in: CoRR (2013)
Keyphrases
- bayesian networks
- mixture model
- conditional independence
- probabilistic inference
- probabilistic model
- graphical models
- structure learning
- incomplete data
- learning bayesian networks
- parameter learning
- gaussian distribution
- bayesian network learning
- probabilistic modeling
- hidden variables
- naive bayes
- bayesian network classifiers
- dynamic bayesian networks
- probability distribution
- probabilistic reasoning
- conditional probability distributions
- hidden markov models
- latent variable models
- bayesian belief networks
- closed form
- expectation maximization
- approximate inference
- data sets
- random variables
- gaussian mixture model
- expert knowledge