Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.
Guy Van den BroeckKarthika MohanArthur ChoiJudea PearlPublished in: CoRR (2014)
Keyphrases
- incomplete data
- parameter learning
- bayesian networks
- em algorithm
- structure learning
- learning bayesian networks
- bayesian network learning
- probabilistic graphical models
- hidden variables
- probabilistic inference
- graphical models
- probability distribution
- expectation maximization
- conditional independence
- probabilistic model
- posterior probability
- generative model
- parameter estimation
- bayesian network classifiers
- approximate inference
- hyperparameters
- decision trees
- random variables
- maximum likelihood
- prior knowledge
- feature extraction
- missing values
- maximum likelihood estimation
- conditional random fields
- least squares
- data mining