Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs.
Costas S. XydeasPlamen P. AngelovShih-Yang ChiaoM. ReoullasPublished in: Comput. Biol. Medicine (2006)
Keyphrases
- eeg signals
- extracted features
- fold cross validation
- decision trees
- kernel density estimators
- classification algorithm
- support vector
- classification rate
- signal processing
- motor imagery
- feature selection
- classification models
- classification method
- hidden markov models
- pattern recognition
- brain activity
- classification systems
- brain computer interface
- decision boundary
- classification decisions
- class labels
- machine learning algorithms
- eeg data
- multiple classifiers
- supervised classification
- classifier combination
- healthy subjects
- feature extraction
- feature set
- training set
- feature vectors
- svm classifier
- training samples
- classification process
- event related potentials
- non stationary
- weak classifiers
- training data
- multi category
- linear discriminant classifier
- multiple classifier systems
- majority voting
- ensemble classifier
- multiresolution
- computer vision
- classification accuracy
- speech recognition
- naive bayes
- supervised learning