Integrally private model selection for decision trees.
Navoda SenavirathneVicenç TorraPublished in: Comput. Secur. (2019)
Keyphrases
- model selection
- decision trees
- machine learning
- cross validation
- parameter estimation
- hyperparameters
- regression model
- bayesian learning
- machine learning algorithms
- statistical learning
- sample size
- error estimation
- model selection criteria
- selection criterion
- variable selection
- generalization error
- feature selection
- meta learning
- gaussian process
- motion segmentation
- mixture model
- naive bayes
- marginal likelihood
- random forest
- training data
- statistical inference
- objective function
- hypothesis tests
- parameter determination
- automatic model selection