Tom Schouten, J.A.K. Suykens and Bart De Moor August 2000 Published in Proc....  Home/Search
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Abstract: We discuss the use of multi resolution analysis (MRA) for fast approximate solution of large linear sets of equations arising in least squares support vector machine (LS-SVM) problems. When LS-SVMs are used on a low dimensional input space, the matrix of the linear set exhibits structure that leads to a sparse approximation in the wavelet domain. The amount of structure decreases with increasing dimensionality. We will illustrate this principle by means of a small example. (Update)
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BibTeX entry: (Update)
@misc{ suykens-departement,
author = "Tom Schouten Suykens",
title = "Departement Elektrotechniek ESAT-SISTA/TR 00-47",
url = "citeseer.ist.psu.edu/617216.html" }
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