MRMR based feature selection for the classification of stress using EEG.
Ahmad Rauf SubhaniWajid MumtazNidal KamilNaufal M. SaadNanda NandagopalAamir Saeed MalikPublished in: ICST (2017)
Keyphrases
- feature selection
- classification accuracy
- feature subset selection
- support vector
- feature selection algorithms
- classification models
- feature set
- text classification
- eeg signals
- machine learning
- feature extraction
- support vector machine
- support vector machine svm
- model selection
- classification method
- feature space
- feature vectors
- pattern recognition
- discriminative features
- mutual information
- unsupervised learning
- feature reduction
- irrelevant features
- accurate classification
- feature subset
- image classification
- wrapper feature selection
- classification performances
- motor imagery
- feature ranking
- decision trees
- information gain
- high dimensionality
- training set
- text categorization
- selected features
- training data
- class imbalance
- small sample
- bayes classifier
- naive bayes
- high dimensional
- feature selection and classification
- method for feature selection
- support vector classification
- signal processing