Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation.
Changwei XuJianfei YangHaoran TangHan ZouCheng LuTianshuo ZhangPublished in: CoRR (2022)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- co training
- supervised learning algorithms
- labeled training data
- active learning
- class labels
- supervised learning
- semi supervised classification
- training data
- prior knowledge
- co occurrence
- text categorization
- labeled examples
- learning algorithm
- labeled and unlabeled data
- select relevant features
- feature vectors
- feature extraction
- text classification
- training examples
- machine learning
- training set
- multi view
- text mining
- knowledge discovery
- positive examples
- domain adaptation
- decision boundary
- data points
- feature space