A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques.
Anwesha KhasnobishSaugat BhattacharyyaAmit KonarD. N. TibarewalaAtulya K. NagarPublished in: IJCNN (2011)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification algorithm
- svm classifier
- classification method
- decision rules
- eeg signals
- feature vectors
- svm classification
- feature selection
- classification accuracy
- feature space
- high classification accuracy
- image classification
- improves the classification accuracy
- decision trees
- generalization ability
- partially supervised
- machine learning
- decision functions
- pattern classification
- structured output
- multi class classification
- decision making
- pattern recognition
- training set
- cost sensitive
- support vector machine classifiers
- decision boundary
- eeg data
- knn
- multiclass support vector machines
- sequential minimal optimization
- fuzzy support vector machine
- motor imagery
- multiple kernel learning
- brain computer interface
- class labels
- kernel function
- k nearest neighbor
- text classification
- supervised learning