Three Approaches to Probability Model Selection
William B. PolandRoss D. ShachterPublished in: CoRR (2013)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- model selection criteria
- sample size
- information criterion
- statistical learning
- machine learning
- regression model
- statistical inference
- generalization error
- mixture model
- leave one out cross validation
- variable selection
- parameter determination
- bayesian approaches
- marginal likelihood
- automatic model selection
- selection criterion
- meta learning
- motion segmentation
- bayesian information criterion
- hypothesis tests
- gaussian process