EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine.
Barenya Bikash HazarikaDeepak GuptaBikram KumarPublished in: Cogn. Comput. (2024)
Keyphrases
- support vector machine
- maximum margin
- eeg signals
- support vector
- binary classification
- unbalanced data
- decision boundary
- svm classifier
- kernel density estimators
- support vector machine svm
- soft margin
- multi class
- pattern classification
- semi supervised learning
- training set
- hyperplane
- generalization ability
- svm classification
- feature space
- kernel function
- feature vectors
- training data
- decision trees
- feature selection
- standard svm
- learning algorithm
- machine learning
- support vectors
- image classification
- supervised learning
- classification accuracy
- neural network
- signal processing
- markov networks
- pattern recognition
- extracted features
- cross validation
- binary classifiers
- training samples