Hard and Soft EM in Bayesian Network Learning from Incomplete Data.
Andrea RuggieriFrancesco StranieriFabio StellaMarco ScutariPublished in: Algorithms (2020)
Keyphrases
- incomplete data
- bayesian network learning
- bayesian networks
- em algorithm
- parameter learning
- learning bayesian networks
- expectation maximization
- variational bayesian
- probabilistic model
- structure learning
- hyperparameters
- maximum likelihood
- parameter estimation
- missing data
- incomplete data sets
- generative model
- probability distribution
- hidden variables
- missing values
- probabilistic inference
- conditional independence
- typical testors
- random variables
- graphical models
- conditional probabilities
- transfer learning
- feature vectors
- missing attribute values
- training data