Three Approaches to Probability Model Selection.
William B. PolandRoss D. ShachterPublished in: UAI (1994)
Keyphrases
- model selection
- cross validation
- parameter estimation
- bayesian learning
- regression model
- model selection criteria
- statistical learning
- hyperparameters
- statistical inference
- generalization error
- variable selection
- information criterion
- bayesian approaches
- bayesian methods
- feature selection
- marginal likelihood
- automatic model selection
- selection criterion
- mixture model
- meta learning
- gaussian process
- error estimation
- bayesian information criterion
- posterior distribution
- motion segmentation
- sample size
- machine learning