Classification of EEG signals using neural network and logistic regression.
Abdulhamit SubasiErgun ErçelebiPublished in: Comput. Methods Programs Biomed. (2005)
Keyphrases
- logistic regression
- eeg signals
- fold cross validation
- support vector
- neural network
- decision trees
- logistic regression models
- classification and regression trees
- linear support vector machines
- naive bayes
- kernel density estimators
- class membership probabilities
- classification trees
- motor imagery
- signal processing
- pattern recognition
- feature extraction
- brain computer interface
- linear svm
- credit scoring
- breast cancer
- belief nets
- feature selection
- artificial neural networks
- eeg data
- linear discriminant classifier
- neural network model
- loss function
- classification accuracy
- decision rules
- feature space
- image processing
- machine learning