Feature-space selection with banded ridge regression.
Tom Dupré la TourMichael EickenbergAnwar Nunez-ElizaldeJack L. GallantPublished in: NeuroImage (2022)
Keyphrases
- ridge regression
- feature space
- support vector machine
- linear regression
- pseudo inverse
- regression methods
- feature vectors
- high dimensional
- ordinary least squares
- markov random field
- conformal prediction
- machine learning
- classification accuracy
- kernel function
- high dimensionality
- ls svm
- parameter selection
- semi supervised
- data points
- artificial neural networks
- feature selection