Bayesian Network Structure Estimation Based on the Bayesian/MDL Criteria When Both Discrete and Continuous Variables Are Present.
Joe SuzukiPublished in: DCC (2012)
Keyphrases
- continuous variables
- bayesian network structure
- bayesian networks
- discrete variables
- structure learning
- mixed integer
- conditional independence
- random variables
- posterior probability
- learning bayesian networks
- markov blanket
- dynamic systems
- naive bayes classifier
- graphical models
- hidden variables
- probabilistic inference
- markov networks
- convex hull
- scoring function
- maximum likelihood
- parameter estimation
- model selection
- probabilistic model
- incomplete data
- computationally expensive
- sample size
- exact inference
- conditional probabilities
- objective function