Proper Model Selection with Significance Test.
Jin HuangCharles X. LingHarry ZhangStan MatwinPublished in: ECML/PKDD (1) (2008)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- sample size
- regression model
- bayesian learning
- statistical learning
- selection criterion
- meta learning
- error estimation
- parameter determination
- machine learning
- gaussian process
- motion segmentation
- model selection criteria
- feature selection
- mixture model
- variable selection
- statistical tests
- statistical inference
- information criterion
- support vector
- bayesian methods
- bayesian model selection
- automatic model selection
- multivariate regression
- bayesian information criterion
- generalization error