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Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.
Philippe Bastien
Frédéric Bertrand
Nicolas Meyer
Myriam Maumy-Bertrand
Published in:
Bioinform. (2015)
Keyphrases
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sparse kernel
partial least squares
latent variables
least squares
dimension reduction
multiple kernel learning
support vector machine
principal component analysis
large margin classifiers
feature selection
support vector
probabilistic model
data points
small number
support vector machine svm
regression model