Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Alexander WangNiladri Shekhar ChatterjiSaminul HaqueTatsunori HashimotoPublished in: ICLR (2022)
Keyphrases
- linear classifiers
- training data
- decision trees
- feature weights
- classification systems
- naive bayes
- supervised classification
- test set
- feature selection
- weighted voting
- classifier combination
- interpolation method
- feature weighting
- support vector
- training samples
- machine learning algorithms
- supervised learning
- training set
- classification rate
- training examples
- majority voting
- ensemble classifier
- neural network
- accurate classifiers
- multiple classifier systems
- multiple classifiers
- active learning
- weighting scheme
- recognition rate
- roc curve
- ensemble learning
- class labels