A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification.
Enzeng DongKairui ZhouJigang TongShengzhi DuPublished in: Biomed. Signal Process. Control. (2020)
Keyphrases
- motor imagery
- kernel function
- multi task
- relevance vector machine
- eeg signals
- support vector machine
- sparse learning
- gaussian processes
- brain computer interface
- kernel machines
- support vector
- kernel methods
- eeg data
- feature space
- multi task learning
- feature selection
- learning tasks
- kernel learning
- input space
- feature set
- multiple kernel learning
- regression method
- kernel matrix
- support vector regression
- multi class
- support vector machine svm
- nonlinear regression
- feature vectors
- high dimensional
- learning problems
- decision trees
- pattern recognition
- feature extraction
- computer vision
- prior knowledge
- gaussian process
- signal processing
- data sets
- model selection
- class labels