Radar-Jamming Classification in the Event of Insufficient Samples Using Transfer Learning.
Yanbin HouHuidong RenQinzhe LvLili WuXiaodong YangYinghui QuanPublished in: Symmetry (2022)
Keyphrases
- transfer learning
- machine learning
- machine learning algorithms
- text classification
- learning tasks
- training samples
- cross domain learning
- labeled data
- multi task
- transfer knowledge
- cross domain
- training set
- label information
- active learning
- supervised learning
- collaborative filtering
- reinforcement learning
- semi supervised learning
- knowledge transfer
- feature vectors
- labeled and unlabeled data
- multi task learning
- structure learning
- cross domain text classification
- unlabeled data
- support vector
- decision trees
- databases
- class labels
- domain specific
- support vector machine
- feature extraction
- neural network
- data sets
- cross validation
- training data
- domain adaptation
- feature selection