AutoMix: Unveiling the Power of Mixup for Stronger Classifiers.
Zicheng LiuSiyuan LiDi WuZihan LiuZhiyuan ChenLirong WuStan Z. LiPublished in: ECCV (24) (2022)
Keyphrases
- training data
- decision trees
- power consumption
- supervised classification
- test set
- support vector
- training set
- feature selection
- classification models
- classifier systems
- classifier ensemble
- ensemble classifier
- classification systems
- ensemble learning
- neural network
- majority vote
- naive bayes
- training samples
- feature set
- classifier combination
- individual classifiers
- majority voting
- trained classifiers
- classification decisions
- machine learning methods
- linear classifiers
- svm classifier
- class labels
- machine learning algorithms
- nearest neighbor
- machine learning