Optimizing for Generalization in Machine Learning with Cross-Validation Gradients.
Shane T. BarrattRishi SharmaPublished in: CoRR (2018)
Keyphrases
- cross validation
- machine learning
- model selection
- learning machines
- variable selection
- generalization error
- hyperparameters
- support vector
- regularization parameter
- error estimates
- regression problems
- cross validated
- information criterion
- roc analysis
- data mining
- learning algorithm
- ls svm
- feature selection
- leave one out cross validation
- error estimation
- unseen data
- machine learning methods
- machine learning algorithms
- decision trees
- training data
- sample size
- artificial neural networks
- statistical inference
- supervised learning
- bayesian inference
- inductive learning