Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with 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
- sparse sampling
- linear regression model
- ridge regression
- nonlinear regression
- radial basis function
- locally weighted
- regression trees
- regression method
- multivariate regression
- support vector regression
- random sampling
- linear models
- compressive sensing
- linear predictors
- neural network
- dimensionality reduction
- state space
- feature extraction