Scalable Model Selection for Belief Networks.
Zhao SongYusuke MuraokaRyohei FujimakiLawrence CarinPublished in: NIPS (2017)
Keyphrases
- model selection
- belief networks
- cross validation
- probabilistic inference
- hyperparameters
- bayesian belief networks
- graphical models
- conditional probabilities
- parameter estimation
- probability distribution
- regression model
- selection criterion
- gaussian process
- mixture model
- machine learning
- unsupervised learning
- exact inference
- belief propagation
- probabilistic model
- feature selection
- neural network
- multilayer perceptron
- decision trees
- genetic algorithm
- data sets
- bayesian information criterion
- automatic model selection
- random variables
- higher order
- objective function
- bayesian networks
- approximate inference
- learning algorithm