An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression.
Xue YuYifan SunHaijun ZhouPublished in: CoRR (2022)
Keyphrases
- linear regression
- high dimensional
- generalized linear models
- least squares
- sparse data
- regression problems
- regression methods
- regression model
- low dimensional
- linear models
- sparse regression
- ridge regression
- high dimensionality
- nonlinear regression
- locally weighted
- kernel regression
- linear regression model
- feature selection
- additive models
- regression method
- dimension reduction
- logistic regression
- shortest path
- machine learning
- high dimension
- regression trees
- linear model
- bayesian networks
- multivariate regression