Variable selection in modelling with supersaturated designs: A comparative study.

Christos Koukouvinos Angeliki Lappa Marilena Mitrouli

Published in: DESSERT (2023)

Keyphrases

genetic algorithm
variable selection
input variables
cross validation
high dimensional
stochastic search
linear models
model selection
dimension reduction
group lasso
high dimensional data
machine learning
low dimensional
feature selection
input image
preprocessing
sparsity inducing