Sparse Linear Regression via Generalized Orthogonal Least-Squares.
Abolfazl HashemiHaris VikaloPublished in: CoRR (2016)
Keyphrases
- linear regression
- orthogonal least squares
- generalized linear models
- sparse regression
- least squares
- regression methods
- regression problems
- radial basis function
- nonlinear regression
- linear regression model
- regression trees
- ridge regression
- locally weighted
- linear models
- high dimensional
- regression method
- loss bounds
- square loss
- multivariate regression