Being Bayesian about learning Gaussian Bayesian networks from incomplete data.
Marco GrzegorczykPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- bayesian networks
- incomplete data
- learning bayesian networks
- learning algorithm
- hidden variables
- bayesian network structures
- posterior probability
- probability distribution
- missing data
- conditional probabilities
- conditional probability tables
- conditional independence
- missing values
- graphical models
- active learning
- data sets
- structure learning
- similarity measure
- typical testors