Deep Regression Bayesian Network and Its Applications.
Siqi NieMeng ZhengQiang JiPublished in: CoRR (2017)
Keyphrases
- bayesian networks
- regression model
- regression algorithm
- regression analysis
- learning bayesian networks
- conditional probabilities
- support vector regression
- regression problems
- probabilistic reasoning
- structure learning
- probabilistic inference
- inference in bayesian networks
- model selection
- linear regression
- simple linear
- structural learning
- graphical models
- locally weighted
- gaussian processes
- bayesian network structure
- regression function
- probabilistic model
- diagnostic reasoning
- regression method
- polynomial regression
- bayesian network classifiers
- ridge regression
- conditional independence
- bayesian network inference
- probabilistic networks
- parameter learning
- approximate inference
- incomplete data
- random variables
- naive bayes
- em algorithm
- markov random field
- special case
- artificial neural networks