optimization method in high-dimensional linear regression.
Xin LiYaohua HuChong LiXiaoqi YangTianzi JiangPublished in: CoRR (2019)
Keyphrases
- linear regression
- optimization method
- high dimensional
- generalized linear models
- least squares
- optimization algorithm
- optimization methods
- genetic algorithm
- regression methods
- optimization process
- evolutionary algorithm
- particle swarm
- regression problems
- global optimum
- simulated annealing
- differential evolution
- low dimensional
- optimization procedure
- nelder mead simplex
- nonlinear optimization
- metaheuristic
- locally weighted
- linear regression model
- dimensionality reduction
- variable selection
- nonlinear regression
- high dimensional data
- linear models
- regression method
- three dimensional
- feature space
- nearest neighbor
- regression trees
- ridge regression
- multi objective
- parameter space
- data points
- particle swarm optimization
- input space