Fast and Informative Model Selection using Learning Curve Cross-Validation.
Felix MohrJan N. van RijnPublished in: CoRR (2021)
Keyphrases
- learning curve
- model selection
- cross validation
- hyperparameters
- variable selection
- sample size
- generalization error
- mixture model
- parameter estimation
- regression model
- selection criterion
- feature selection
- leave one out cross validation
- error estimation
- gaussian process
- machine learning
- information criterion
- meta learning
- statistical inference
- bayesian information criterion
- gaussian processes
- learning theory
- least squares
- learning algorithm
- data sets
- model selection criteria