Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration.
Lauro C. M. de PaulaAnderson da Silva SoaresTelma Woerle de Lima SoaresCelso Gonçalves Camilo-JuniorClarimar José CoelhoAnselmo E. de OliveiraPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- variable selection
- input variables
- cross validation
- stochastic search
- high dimensional
- model selection
- linear models
- group lasso
- search algorithm
- regression model
- dimension reduction
- number of input variables
- high dimensional data
- ensemble selection
- data sets
- object recognition
- feature selection
- computer vision
- neural network
- sparsity inducing