Asymptotic Model Selection for Naive Bayesian Networks.
Dmitry RusakovDan GeigerPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- marginal likelihood
- naive bayesian
- model selection
- cross validation
- hyperparameters
- regression model
- bayesian learning
- information criterion
- parameter estimation
- sample size
- model selection criteria
- generalization error
- gaussian process
- machine learning
- leave one out cross validation
- variable selection
- selection criterion
- mixture model
- feature selection
- data mining
- bayesian information criterion
- closed form
- approximate inference
- exponential family
- text classification