Preferences in Argumentation for Statistical Model Selection.
Isabel SassoonJeroen KeppensPeter McBurneyPublished in: COMMA (2016)
Keyphrases
- model selection
- statistical inference
- cross validation
- hyperparameters
- hypothesis tests
- sample size
- statistical learning
- multivariate regression
- regression model
- bayesian learning
- machine learning
- model selection criteria
- parameter estimation
- gaussian process
- variable selection
- feature selection
- argumentation frameworks
- mixture model
- selection criterion
- generalization error
- meta learning
- hypothesis testing
- statistical analysis
- motion segmentation
- information criterion
- error estimation
- confidence intervals
- statistical methods
- generalization bounds
- statistical models
- automatic model selection
- bayesian methods
- marginal likelihood
- hypothesis test
- active learning
- bayesian model selection
- learning algorithm