Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification.
Xue JiangLubin MengZiwei WangDongrui WuPublished in: IEEE Trans. Biomed. Eng. (2024)
Keyphrases
- transfer learning
- labeled data
- semi supervised
- semi supervised learning
- label information
- text classification
- unlabeled data
- cross domain learning
- supervised learning
- co training
- machine learning
- labeled and unlabeled data
- active learning
- learning tasks
- knowledge transfer
- labeled examples
- target domain
- class labels
- unsupervised learning
- cross domain
- cross domain text classification
- unlabeled samples
- machine learning algorithms
- transfer knowledge
- manifold alignment
- domain adaptation
- text categorization
- feature vectors
- feature extraction
- eeg signals
- source domain
- reinforcement learning
- multi task learning
- decision trees
- learning algorithm
- training samples
- multi view
- support vector machine
- feature space
- multi task
- training examples
- pairwise constraints
- prior knowledge
- object recognition
- bayesian networks
- feature selection