Nonparametric Principal Components Regression.
Jennifer UmaliErniel B. BarriosPublished in: Commun. Stat. Simul. Comput. (2014)
Keyphrases
- principal components
- principal component regression
- nonparametric regression
- principal component analysis
- regression model
- multivariate data
- partial least squares
- dimensionality reduction
- model selection
- kernel space
- gaussian processes
- linear regression
- principal components analysis
- pattern recognition
- hyperplane
- linear features
- kernel principal component analysis
- regression method
- support vector regression
- learning algorithm
- correlation coefficient
- feature set
- feature extraction