Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG.
Jiancong HeGuoxu ZhouHongtao WangEvangelos SigalasNitish V. ThakorAnastasios BezerianosJunhua LiPublished in: PRNI (2018)
Keyphrases
- transfer learning
- text classification
- cross domain learning
- machine learning
- learning tasks
- feature selection
- knowledge transfer
- machine learning algorithms
- cross domain
- cross domain text classification
- eeg signals
- labeled data
- multi task
- domain adaptation
- transfer knowledge
- reinforcement learning
- collaborative filtering
- target domain
- active learning
- manifold alignment
- feature extraction
- learning algorithm
- training samples
- support vector machine
- feature vectors
- decision trees
- cost sensitive
- cross validation
- text categorization
- multi task learning
- label information
- support vector
- co training
- brain computer interface
- eeg data
- training set
- feature space