Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine.
Xiaoou LiXun ChenYuning YanWenshi WeiZ. Jane WangPublished in: Sensors (2014)
Keyphrases
- multiple kernel learning
- eeg signals
- support vector machine
- lp norm
- kernel methods
- kernel function
- svm classifier
- kernel learning
- feature selection
- signal processing
- linear combination
- multiple kernel
- support vector machine svm
- support vector
- multi class
- eeg data
- classification accuracy
- machine learning
- motor imagery
- svm classification
- brain computer interface
- binary classification
- linear discriminant classifier
- learning problems
- feature space
- support vectors
- training data
- decision boundary
- decision trees
- pattern recognition
- training set
- feature vectors
- multi task
- hyperplane
- feature extraction
- k nearest neighbor
- supervised learning