Evolutionary feature selection and electrode reduction for EEG classification.
Adham AtyabiMartin H. LuerssenSean P. FitzgibbonDavid M. W. PowersPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- feature selection
- classification accuracy
- feature reduction
- feature extraction
- classification models
- text classification
- machine learning
- support vector machine
- feature space
- model selection
- support vector
- pattern recognition
- eeg signals
- mutual information
- feature selection algorithms
- unsupervised learning
- feature subset selection
- decision trees
- support vector machine svm
- discriminative features
- accurate classification
- instance selection
- genetic algorithm
- bayes classifier
- irrelevant attributes
- motor imagery
- microarray data
- high dimensionality
- text categorization
- feature subset
- supervised learning
- multi class
- learning algorithm
- feature selection and classification
- feature vectors
- data pre processing
- event related
- evolutionary algorithm
- eeg data
- semi supervised
- small sample
- feature ranking
- rough sets
- image classification
- selected features