Sparse linear regression with elastic net regularization for brain-computer interfaces.
John W. KellyAlan D. DegenhartDaniel P. SiewiorekAsim SmailagicWei WangPublished in: EMBC (2012)
Keyphrases
- elastic net
- linear regression
- brain computer interface
- least squares
- regularization parameter
- sparse learning
- topology preserving
- linear support vector machines
- signal processing
- ridge regression
- nonlinear regression
- eeg signals
- regression methods
- multiple kernel learning
- kernel learning
- linear models
- image restoration
- training set
- random projections
- regression method
- computer vision
- moving objects
- projection matrix
- pattern recognition
- image processing