Improving parameter learning of Bayesian nets from incomplete data
Giorgio CoraniCassio P. de CamposPublished in: CoRR (2011)
Keyphrases
- incomplete data
- parameter learning
- bayesian networks
- em algorithm
- structure learning
- posterior probability
- maximum likelihood
- multiple imputation
- graphical models
- expectation maximization
- probabilistic model
- incomplete data sets
- approximate inference
- conditional probabilities
- hidden variables
- probabilistic inference
- probability distribution
- hyperparameters
- conditional independence
- conditional random fields
- random variables
- missing data
- conditional probability tables
- posterior distribution
- generative model
- markov random field
- statistical learning
- closed form
- parameter estimation
- maximum likelihood estimation
- supervised learning