Bayesian Network Parameter Learning using EM with Parameter Sharing.
Erik ReedOle J. MengshoelPublished in: BMA@UAI (2014)
Keyphrases
- parameter learning
- bayesian networks
- expectation maximization
- em algorithm
- structure learning
- generative model
- maximum likelihood
- statistical learning
- bayesian network learning
- conditional random fields
- parameter estimation
- probabilistic model
- approximate inference
- markov random field
- graphical models
- bayesian network classifiers
- conditional independence
- incomplete data
- hidden variables
- probability distribution
- markov networks
- random variables
- maximum likelihood estimation
- probabilistic inference
- information theory
- machine learning
- graph cuts
- similarity measure
- image segmentation