A signal theory approach to support vector classification: the sinc kernel
type: Item
instance of: scholarly article
title: A signal theory approach to support vector classification: the sinc kernel
zbMATH Open document ID: 1335.68208
author: James D. B. Nelson
author: Robert I. Damper
author: Baofeng Guo
author: Steve R. Gunn
published in: Neural Networks
publication date: 2016-05-10T00:00:00Z
full work available at URL: nnt1906.pdf
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 6578186
zbMATH Keywords: hyperspectral imaging
zbMATH Keywords: parameter estimation
zbMATH Keywords: regularisation
zbMATH Keywords: reproducing kernel Hilbert spaces
zbMATH Keywords: sequency analysis
zbMATH Keywords: signal theory
zbMATH Keywords: sinc kernel
zbMATH Keywords: support vector machines
MaRDI profile type: Publication
OpenAlex ID: W2012506849
Wikidata QID: Q51857734
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DBLP publication ID: journals/nn/NelsonDGG09
DOI: 10.1016/J.NEUNET.2008.09.016
description: scientific article; zbMATH DE number 6578186