Building variable selection ensembles for linear regression models by adding noise.
Guan-Wei WangChun-Xia ZhangPublished in: ICMLC (2015)
Keyphrases
- variable selection
- ensemble selection
- linear regression models
- regression trees
- linear models
- cross validation
- least squares
- high dimensional
- model selection
- dimension reduction
- regression analysis
- noise level
- missing data
- data sets
- random forests
- high dimensional data
- linear regression model
- decision trees
- neural network