Asymptotic Model Selection for Naive Bayesian Networks
Dmitry RusakovDan GeigerPublished in: CoRR (2013)
Keyphrases
- marginal likelihood
- naive bayesian
- model selection
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- information criterion
- gaussian process
- model selection criteria
- sample size
- feature selection
- regression model
- machine learning
- selection criterion
- approximate inference
- closed form
- mixture model
- variable selection
- bayesian methods
- exponential family
- leave one out cross validation
- generalization error
- posterior distribution
- support vector