Nonparametric Principal Subspace Regression.
Yang ZhouMark KoudstaalDengdeng YuDehan KongFang YaoPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- nonparametric regression
- regression model
- low dimensional
- gaussian density
- subspace clustering
- high dimensional data
- data driven
- feature extraction
- support vector regression
- model selection
- feature space
- input data
- linear regression
- regression problems
- linear subspace
- simple linear
- bayesian modeling
- locally weighted
- clustering high dimensional data
- ridge regression
- regression methods
- partial least squares
- support vector machine
- principal component analysis
- dimensionality reduction
- regularized regression
- kernel based nonlinear
- subspace clusters
- regression algorithm
- principal components
- least squares
- support vector