A Principal Components Approach to Combining Regression Estimates.
Christopher J. MerzMichael J. PazzaniPublished in: Mach. Learn. (1999)
Keyphrases
- principal components
- principal component regression
- principal component analysis
- hyperplane
- dimensionality reduction
- regression model
- partial least squares
- kernel space
- multivariate data
- principal components analysis
- covariance matrix
- spectral data
- correlation coefficient
- feature extraction
- feature set
- regression methods
- kernel principal component analysis
- computer vision
- support vector
- linear regression
- kernel methods
- support vector machine
- pattern recognition