Distributed classifier migration in xcs for classification of electroencephalographic signals.
Brad T. SkinnerH. T. NguyenDikai LiuPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- eeg signals
- classification method
- classification algorithm
- class labels
- classification process
- support vector machine
- classification scheme
- classifier systems
- decision trees
- learning classifier systems
- feature selection
- support vector
- eeg data
- classification rate
- accurate classification
- learning vector quantization
- k nearest neighbour
- classification accuracy
- feature set
- classifier combination
- nearest neighbor classifier
- classification models
- classification schemes
- decision boundary
- high classification accuracy
- training samples
- multiple classifiers
- training set
- feature space
- final classification
- text classification
- higher classification accuracy
- rule discovery
- supervised classification
- individual classifiers
- genetic algorithm
- pattern classification
- training data
- sufficient training data
- bayesian classifier
- text classifiers
- probabilistic classifiers
- classification decisions
- multi category
- feature extraction
- multiclass classification
- accurate classifiers
- decision tree classifiers
- pattern recognition
- machine learning
- feature extraction and classification
- support vector machine svm
- probabilistic neural network
- fuzzy classifier
- classification rules
- extracted features
- learning phase