Fast and Informative Model Selection Using Learning Curve Cross-Validation.
Felix MohrJan N. van RijnPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- learning curve
- model selection
- cross validation
- hyperparameters
- variable selection
- parameter estimation
- generalization error
- machine learning
- sample size
- feature selection
- mixture model
- regression model
- error estimation
- leave one out cross validation
- information criterion
- meta learning
- statistical inference
- model selection criteria
- selection criterion
- gaussian process
- bayesian methods
- least squares
- semi supervised
- bayesian information criterion
- probabilistic model
- training data
- learning algorithm