Bart Hamers

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In this paper we investigate the use of compactly supported RBF kernels for nonlinear function estimation with LS-SVMs. The choice of compact kernels recently proposed by Genton may lead to computational improvements and memory reduction. Examples however illustrate that compactly supported RBF kernels may lead to severe loss in generalization performance(More)
  • B De Moor, Bart Hamers, L Froyen, B De, J Suykens, M Verleysen +5 others
  • 2004
Proefschrift voorgedragen tot het behalen van het doctoraat in de toegepaste wetenschap-pen door Abstract As a result of the ever-growing influence of IT in research and companies terabytes of data are handled and stored daily. Therefore the interest in using this source of information is increasing steadily. It is there that data mining and machine(More)
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