Massively Scaling Heteroscedastic Classifiers.
Mark CollierRodolphe JenattonBasil MustafaNeil HoulsbyJesse BerentEffrosyni KokiopoulouPublished in: CoRR (2023)
Keyphrases
- support vector
- training data
- training set
- classification systems
- decision trees
- multiple classifiers
- supervised classification
- machine learning algorithms
- training examples
- feature set
- feature selection
- classification method
- classification models
- supervised learning
- class labels
- classifier combination
- machine learning methods
- roc curve
- parallel computing
- massively parallel
- co training
- majority voting
- classifier ensemble
- binary classifiers
- gaussian distribution
- classification algorithm
- training samples