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JMLR
2010

Nonlinear functional regression: a functional RKHS approach

9 years 9 months ago
Nonlinear functional regression: a functional RKHS approach
This paper deals with functional regression, in which the input attributes as well as the response are functions. To deal with this problem, we develop a functional reproducing kernel Hilbert space approach; here, a kernel is an operator acting on a function and yielding a function. We demonstrate basic properties of these functional RKHS, as well as a representer theorem for this setting; we investigate the construction of kernels; we provide some experimental insight.
Hachem Kadri, Emmanuel Duflos, Philippe Preux, St&
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JMLR
Authors Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
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