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Large-Scale Nonlinear Variable Selection via Kernel Random Features.
Magda Gregorová
Jason Ramapuram
Alexandros Kalousis
Stéphane Marchand-Maillet
Published in:
ECML/PKDD (2) (2018)
Keyphrases
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variable selection
feature space
high dimensional
linear models
input variables
feature vectors
cross validation
stochastic search
model selection
kernel methods
dimension reduction
feature set
feature extraction
kernel pca
decision trees
kernel function
high dimensionality
training data
ls svm