@conference{10902/3305,
year = {2007},
month = {9},
url = {http://hdl.handle.net/10902/3305},
abstract = {In this paper, a new technique for unidimensional regression
based on support vector machines is presented. The method is based
on the addition of new linear restrictions to the standard (or global)
support vector machines technique. Despite the new linear restrictions,
a quadratic programming problem is also obtained. Moreover, the use
of support vector machines allows us a straightforward derivation of
a nonlinear extension of the proposed technique. Finally, simulation
results are presented in which the proposed technique is applied to an
equalization problem, in this example the proposed technique presents
similar results to those of the Bayesian (optimal) equalizer. The technique
is also applied to a nonlinear regression problem in which local modeling
provides better results than global modeling.},
publisher = {URSI 2007, XXII Simposium Nacional de la Unión Científica Internacional de Radio, La Laguna},
title = {Extensión de la SVM para regresión a tramos},
author = {Ramírez García, David and Santamaría Caballero, Luis Ignacio and Vaerenbergh, Steven van and Vía Rodríguez, Javier},
}