EEG signal classification using universum support vector machine.
Bharat RichhariyaMuhammad TanveerPublished in: Expert Syst. Appl. (2018)
Keyphrases
- support vector machine
- eeg signals
- unbalanced data
- binary classification
- maximum margin
- support vector machine svm
- support vector
- semi supervised learning
- svm classifier
- cost sensitive
- multi class
- feature vectors
- misclassification costs
- feature selection
- training set
- decision boundary
- training data
- pattern recognition
- svm classification
- decision trees
- pattern classification
- machine learning
- feature space
- signal processing
- supervised learning
- class labels
- text classification
- brain computer interface
- kernel methods
- unsupervised learning
- extracted features
- unlabeled data
- data sets
- binary classifiers
- knn
- regression method
- classification accuracy
- structured output
- single class
- machine learning algorithms