An empirical study of Bayesian network parameter learning with monotonic influence constraints.
Yun ZhouNorman E. FentonCheng ZhuPublished in: Decis. Support Syst. (2016)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- conditional random fields
- statistical learning
- generative model
- bayesian network learning
- maximum likelihood
- em algorithm
- markov random field
- approximate inference
- parameter estimation
- graphical models
- probabilistic model
- expectation maximization
- incomplete data
- image processing
- bayesian network classifiers
- probability distribution
- conditional independence
- supervised learning
- probabilistic inference
- conditional probabilities
- random variables
- posterior probability
- knowledge representation
- markov networks
- higher order
- machine learning
- text classification