Discriminating Instance Generation for Automated Constraint Model Selection.
Ian P. GentBilal Syed HussainChristopher JeffersonLars KotthoffIan MiguelGlenna F. NightingalePeter NightingalePublished in: CP (2014)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- machine learning
- sample size
- bayesian learning
- regression model
- motion segmentation
- meta learning
- statistical learning
- error estimation
- mixture model
- generalization error
- feature selection
- marginal likelihood
- automatic model selection
- variable selection
- statistical inference
- leave one out cross validation
- data sets
- gaussian process
- selection criterion
- information criterion
- model selection criteria
- upper bound
- bayesian information criterion
- parameter determination
- bayesian model selection