62 citations · 127 across the 25 of their papers we have counts for
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stat.ML2013
M-Power Regularized Least Squares Regression
Julien Audiffren, Hachem Kadri
Regularization is used to find a solution that both fits the data and is sufficiently smooth, and thereby is very effective for designing and refining learning algorithms. But the…
stat.ML2013
Multiple functional regression with both discrete and continuous covariates
Hachem Kadri, Philippe Preux, Emmanuel Duflos +1
In this paper we present a nonparametric method for extending functional regression methodology to the situation where more than one functional covariate is used to predict a funct…