Asymptotic Model Selection for Naive Bayesian Networks.
Dmitry RusakovDan GeigerPublished in: UAI (2002)
Keyphrases
- marginal likelihood
- naive bayesian
- model selection
- hyperparameters
- cross validation
- information criterion
- parameter estimation
- model selection criteria
- bayesian learning
- sample size
- mixture model
- feature selection
- gaussian process
- variable selection
- selection criterion
- machine learning
- regression model
- bayesian information criterion
- bayesian methods
- leave one out cross validation
- support vector