A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives.
Robert M. FreundPaul GrigasRahul MazumderPublished in: CoRR (2015)
Keyphrases
- linear regression
- least squares
- stochastic optimization
- regression methods
- regression problems
- linear regression model
- ridge regression
- nonlinear regression
- optimization procedure
- optimization methods
- locally weighted
- regression trees
- optimization problems
- linear models
- kernel regression
- convex optimization
- generalized linear models
- subgradient method
- kernel density estimators
- learning algorithm
- optimization method
- evolutionary algorithm
- three dimensional
- computer vision