Unsupervised domain adaptation via double classifiers based on high confidence pseudo label.
Huihuang ChenLi LiJie ChenKuo-Yi LinPublished in: CoRR (2021)
Keyphrases
- high confidence
- class labels
- association rules
- training data
- training set
- decision trees
- support vector
- feature selection
- test set
- supervised classification
- unlabeled samples
- supervised learning
- linear classifiers
- training examples
- machine learning algorithms
- majority voting
- multi label classification
- software defect
- data sets
- multi label
- ensemble learning
- classification algorithm
- naive bayes
- classification systems
- feature set
- neural network
- ensemble classifier
- training samples
- support vector machine
- multiple classifiers
- knowledge discovery