62 citations · 127 across the 25 of their papers we have counts for
5 papers · 1 filter
Online Learning with Multiple Operator-valued Kernels
Julien Audiffren, Hachem Kadri
We consider the problem of learning a vector-valued function f in an online learning setting. The function f is assumed to lie in a reproducing Hilbert space of operator-valued ker…
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…
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri
We study the stability properties of nonlinear multi-task regression in reproducing Hilbert spaces with operator-valued kernels. Such kernels, a.k.a. multi-task kernels, are approp…
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…
Functional Regularized Least Squares Classi cation with Operator-valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux +2
Although operator-valued kernels have recently received increasing interest in various machine learning and functional data analysis problems such as multi-task learning or functio…