Model Selection by Linear Programming.
Joseph WangTolga BolukbasiKirill TrapeznikovVenkatesh SaligramaPublished in: ECCV (2) (2014)
Keyphrases
- model selection
- linear programming
- cross validation
- hyperparameters
- statistical learning
- parameter estimation
- bayesian learning
- selection criterion
- regression model
- sample size
- model selection criteria
- optimal solution
- variable selection
- mixture model
- machine learning
- statistical inference
- error estimation
- meta learning
- motion segmentation
- objective function
- feature selection
- dynamic programming
- leave one out cross validation
- marginal likelihood
- generalization error
- image segmentation
- data mining
- posterior distribution
- mutual information
- np hard
- information criterion
- parameter determination