Gaussian Regularized Sliced Inverse Regression.
Caroline Bernard-MichelLaurent GardesStéphane GirardPublished in: Stat. Comput. (2009)
Keyphrases
- regression model
- least squares
- estimation problems
- regression problems
- linear regression
- support vector regression
- ridge regression
- nonlinear functions
- model selection
- gaussian distribution
- gaussian mixture
- locally weighted
- regression methods
- simple linear
- regression analysis
- gaussian mixture model
- maximum likelihood
- support vector
- neural network
- gaussian noise
- covariance matrices
- gaussian model
- regression method
- regression algorithm
- probabilistic model
- pseudo inverse
- regression function
- objective function
- risk minimization
- pairwise
- density function
- em algorithm
- data sets