High performance EEG signal classification using classifiability and the Twin SVM.
Sumit Soman JayadevaPublished in: Appl. Soft Comput. (2015)
Keyphrases
- eeg signals
- support vector machine svm
- support vector
- support vector machine
- classification method
- classification algorithm
- svm classification
- feature vectors
- svm classifier
- classification accuracy
- improves the classification accuracy
- high classification accuracy
- feature space
- feature selection
- generalization ability
- feature extraction
- machine learning
- training set
- brain computer interface
- signal processing
- pattern classification
- pattern recognition
- decision trees
- fold cross validation
- training data
- kernel density estimators
- partially supervised
- unbalanced data
- multi class svm
- support vector machine classifiers
- decision boundary
- multi class
- multiresolution
- knn
- supervised learning
- multi class classification
- standard svm
- support vectors
- extracted features
- image analysis
- k nearest neighbor