On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.
Kun FangQinghua TaoYingwen WuTao LiXiaolin HuangJie YangPublished in: CoRR (2022)
Keyphrases
- ensemble learning
- classifier ensemble
- multiple classifiers
- ensemble classifier
- training data
- training set
- ensemble pruning
- majority voting
- class label noise
- decision tree classifiers
- multiple classifier systems
- ensemble methods
- randomized trees
- final classification
- combining classifiers
- individual classifiers
- real time
- weighted voting
- accurate classifiers
- feature selection
- weak learners
- mining concept drifting data streams
- neural network
- machine learning methods
- linear classifiers
- data sets
- diversity measures
- learning algorithm
- majority vote
- rule induction algorithm
- concept drifting data streams
- trained classifiers
- ensemble classification
- test set
- imbalanced data
- decision trees
- support vector
- bias variance decomposition
- classifier fusion
- feature set
- naive bayes
- svm classifier
- classification algorithm
- classification systems
- one class support vector machines
- facial expressions
- training samples
- machine learning algorithms
- class labels
- individual features
- feature vectors
- classification models