An SFFS technique for EEG feature classification to identify sub-groups.
Mary C. BakerA. S. KerrElizabeth HamesKwaku AkrofiPublished in: CBMS (2012)
Keyphrases
- feature vectors
- feature set
- classification accuracy
- eeg signals
- classification scheme
- classification method
- decision trees
- automatic classification
- sleep stage
- pattern recognition
- image classification
- benchmark datasets
- feature space
- machine learning
- discriminative features
- feature analysis
- feature extraction
- support vector machine
- preprocessing
- feature values
- automatically classify
- preprocessing stage
- classification systems
- decision rules
- feature representation
- classification rules
- support vector
- feature selection
- classification models
- classification algorithm
- svm classifier
- feature subset selection
- text classification
- training set