A formalisation and prototype implementation of argumentation for statistical model selection.
Isabel SassoonSebastian ZillessenJeroen KeppensPeter McBurneyPublished in: Argument Comput. (2019)
Keyphrases
- model selection
- statistical inference
- cross validation
- regression model
- hyperparameters
- parameter estimation
- sample size
- bayesian learning
- statistical learning
- mixture model
- meta learning
- multivariate regression
- marginal likelihood
- model selection criteria
- hypothesis tests
- error estimation
- feature selection
- parameter determination
- gaussian process
- generalization error
- variable selection
- automatic model selection
- machine learning
- selection criterion
- bayesian information criterion
- statistical analysis
- bayesian methods
- real world
- generalization bounds
- information criterion
- hypothesis testing
- leave one out cross validation
- motion segmentation
- statistical models
- semi supervised