Parameter learning in hybrid Bayesian networks using prior knowledge.
Inmaculada Pérez-BernabéAntonio FernándezRafael RumíAntonio SalmerónPublished in: Data Min. Knowl. Discov. (2016)
Keyphrases
- parameter learning
- bayesian networks
- prior knowledge
- structure learning
- generative model
- bayesian network learning
- maximum likelihood
- conditional random fields
- probabilistic modeling
- em algorithm
- conditional independence
- hidden variables
- probabilistic model
- probability distribution
- approximate inference
- parameter estimation
- statistical learning
- probabilistic inference
- latent variables
- bayesian framework
- bayesian network classifiers
- graphical models
- posterior probability
- prior information
- incomplete data
- expectation maximization
- pairwise
- machine learning
- structure and parameter learning
- regression model
- least squares
- natural language
- image processing