111 citations · 175 across the 6 of their papers we have counts for
6 papers
Operator-valued Kernels for Learning from Functional Response Data
Hachem Kadri, Emmanuel Duflos, Philippe Preux +3
In this paper we consider the problems of supervised classification and regression in the case where attributes and labels are functions: a data is represented by a set of function…
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…
Optimal Policies Search for Sensor Management
Thomas Bréhard, Emmanuel Duflos, Philippe Vanheeghe +1
This paper introduces a new approach to solve sensor management problems. Classically sensor management problems can be well formalized as Partially-Observed Markov Decision Proces…
Time Allocation of a Set of Radars in a Multitarget Environment
Emmanuel Duflos, Marie De Vilmorin, Philippe Vanheeghe
The question tackled here is the time allocation of radars in a multitarget environment. At a given time radars can only observe a limited part of the space; it is therefore necess…
Bayesian Inference for Linear Dynamic Models with Dirichlet Process Mixtures
François Caron, Manuel Davy, Arnaud Doucet +2
Using Kalman techniques, it is possible to perform optimal estimation in linear Gaussian state-space models. We address here the case where the noise probability density functions…