Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.
He ZhaoQingqing ZhengKai MaHuiqi LiYefeng ZhengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- non stationary
- domain adaptation
- feature representation
- document classification
- semi supervised
- classification algorithm
- supervised learning
- feature extraction
- classification accuracy
- support vector
- labeled data
- decision trees
- eeg signals
- feature space
- random fields
- co training
- class labels
- multiple sources
- cross domain
- concept drift
- transfer learning
- text classification
- data model
- feature vectors
- sentiment classification
- unlabeled data
- training samples
- data sets
- feature set
- training set
- machine learning