Combined Linear Regression and Quadratic Classification Approach for an EEG-Based Prediction of Driver Performance.
Gregory ApkerBrent LanceScott E. KerickKaleb McDowellPublished in: HCI (24) (2013)
Keyphrases
- linear regression
- regression problems
- linear regression model
- kernel density estimators
- least squares
- eeg signals
- ridge regression
- classification accuracy
- linear predictors
- regression methods
- decision trees
- nonlinear regression
- prediction accuracy
- linear models
- prediction model
- regression method
- machine learning
- objective function
- feature selection
- pattern classification
- support vector machine svm
- support vector machine
- support vector
- feature extraction
- density estimation
- prediction error
- dimension reduction
- cross validation
- genetic programming
- locally weighted
- square loss
- sleep stage