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A computational procedure for variable selection preserving different initial conditions.
María José Benítez-Caballero
Jesús Medina
Eloísa Ramírez-Poussa
Dominik Slezak
Published in:
Int. J. Comput. Math. (2020)
Keyphrases
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variable selection
initial conditions
cross validation
input variables
high dimensional
model selection
differential equations
linear models
fixed point
dimension reduction
group lasso
chaotic systems
neural network
high dimensional data
feature selection
probabilistic model
data sets
number of input variables