A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification.
Xinxin ShanYing WenQingli LiYue LuHaibin CaiPublished in: MICCAI (5) (2021)
Keyphrases
- cross domain
- transfer learning
- cross domain learning
- cross domain text classification
- cooperative learning
- knowledge transfer
- domain adaptation
- text classification
- machine learning
- sentiment classification
- labeled data
- target domain
- multi task
- learning tasks
- reinforcement learning
- text categorization
- supervised learning
- cooperative
- machine learning algorithms
- semi supervised learning
- semi supervised
- learning algorithm
- label information
- active learning
- support vector
- unlabeled data
- model selection
- language learning
- decision trees
- source domain
- data sets
- case study
- feature extraction
- co training
- training set
- knowledge representation