Massively Scaling Heteroscedastic Classifiers.
Mark CollierRodolphe JenattonBasil MustafaNeil HoulsbyJesse BerentEffrosyni KokiopoulouPublished in: ICLR (2023)
Keyphrases
- decision trees
- linear classifiers
- training data
- massively parallel
- naive bayes
- test set
- classification algorithm
- supervised classification
- machine learning algorithms
- training set
- support vector
- svm classifier
- feature selection
- linear discriminant analysis
- parallel computing
- high dimensional data
- training examples
- classification models
- roc curve
- feature set
- classification systems
- ensemble classifier
- k nearest neighbour
- classification decisions