Regularized Universum twin support vector machine for classification of EEG Signal.
Deepak GuptaHemanga Jyoti SarmaKshitij MishraMukesh PrasadPublished in: SMC (2019)
Keyphrases
- support vector machine
- eeg signals
- unbalanced data
- binary classification
- maximum margin
- svm classifier
- semi supervised learning
- support vector
- support vector machine svm
- feature vectors
- decision boundary
- machine learning
- feature space
- training set
- signal processing
- feature selection
- training data
- pattern recognition
- multi class
- semi supervised
- binary classifiers
- classification accuracy
- kernel methods
- extracted features
- generalization ability
- hyperplane
- decision rules
- unsupervised learning
- image classification
- least squares
- active learning
- machine learning algorithms
- labeled data
- text classification
- feature extraction
- decision trees
- svm classification
- image processing