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Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
Sergio Muñoz-Romero
Vanessa Gómez-Verdejo
Jerónimo Arenas-García
Published in:
CoRR (2021)
Keyphrases
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variable selection
high dimensional
sparsity inducing
input variables
cross validation
dimension reduction
stochastic search
linear models
group lasso
data sets
high dimensional data
data mining
data analysis
feature space
least squares