A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface.
Joshua GilesKai Keng AngLyudmila S. MihaylovaMahnaz ArvanehPublished in: ICASSP (2019)
Keyphrases
- transfer learning
- brain computer interface
- jensen shannon divergence
- learning tasks
- multi task
- knowledge transfer
- cross domain
- machine learning algorithms
- signal processing
- reinforcement learning
- neural network
- pattern recognition
- active learning
- labeled data
- information theoretic
- machine learning
- domain adaptation