Relevant Feature Selection from EEG Signal for Mental Task Classification.
Akshansh GuptaR. K. AgrawalPublished in: PAKDD (2) (2012)
Keyphrases
- eeg signals
- feature selection
- classification accuracy
- classification models
- support vector
- feature extraction
- machine learning
- support vector machine
- feature space
- text classification
- feature set
- model selection
- pattern recognition
- text categorization
- signal processing
- irrelevant features
- feature reduction
- method for feature selection
- unsupervised learning
- high dimensionality
- wrapper feature selection
- feature subset
- feature selection algorithms
- mental states
- discriminative features
- pattern classification
- classification algorithm
- decision rules
- support vector machine svm
- image classification
- supervised learning
- multi class
- feature vectors
- brain computer interface
- feature ranking
- small sample
- knn
- redundant features
- classification performances
- image analysis
- kernel density estimators