Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection.
Weikai LiChuanxing GengSongcan ChenPublished in: CoRR (2020)
Keyphrases
- model selection
- cross validation
- hyperparameters
- variable selection
- parameter estimation
- sample size
- generalization error
- mixture model
- feature selection
- regression model
- machine learning
- meta learning
- selection criterion
- statistical inference
- model selection criteria
- information criterion
- error estimation
- leave one out cross validation
- active learning
- bayesian methods
- learning machines
- bayesian information criterion