Multi-source transfer learning via optimal transport feature ranking for EEG classification.
Junhao LiQingshan SheFeng FangYun ChenYingchun ZhangPublished in: Neurocomputing (2024)
Keyphrases
- transfer learning
- feature ranking
- multi source
- feature selection
- text classification
- feature subset
- machine learning
- text categorization
- labeled data
- classification models
- data fusion
- learning tasks
- supervised learning
- machine learning algorithms
- semi supervised learning
- feature subset selection
- eeg signals
- classification accuracy
- active learning
- pattern recognition
- support vector machine
- fold cross validation
- information fusion
- reinforcement learning
- high dimensionality
- multi layer perceptron
- feature vectors
- training data
- decision trees
- unlabeled data
- data sources
- pairwise
- support vector
- multiple sources
- genetic algorithm
- data sets
- learning algorithm
- class labels
- data integration
- naive bayes
- support vector machine svm
- text mining
- collaborative filtering
- multi class
- knowledge discovery