Variable selection as a non-completely decomposable problem: a case study in multivariate calibration.
Lauro C. M. de PaulaAnderson da Silva SoaresTelma W. L. SoaresClarimar José CoelhoPublished in: GECCO (Companion) (2017)
Keyphrases
- variable selection
- cross validation
- high dimensional
- model selection
- linear models
- input variables
- regression model
- dimension reduction
- stochastic search
- logistic regression models
- ensemble selection
- neural network
- computer vision
- data analysis
- high dimensional data
- number of input variables
- group lasso
- maximum likelihood
- feature selection
- learning algorithm