Improving Bayesian Network parameter learning using constraints.
Cassio P. de CamposQiang JiPublished in: ICPR (2008)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- conditional random fields
- generative model
- statistical learning
- maximum likelihood
- bayesian network learning
- em algorithm
- graphical models
- expectation maximization
- parameter estimation
- approximate inference
- markov random field
- probability distribution
- hidden variables
- bayesian network classifiers
- random variables
- posterior probability
- markov networks
- conditional independence
- feature selection
- higher order
- probabilistic model
- dynamic programming
- decision trees