The University of Southampton
University of Southampton Institutional Repository

Parsimonious support vector machine regression using orthogonal forward selection with the generalized kernel model

Parsimonious support vector machine regression using orthogonal forward selection with the generalized kernel model
Parsimonious support vector machine regression using orthogonal forward selection with the generalized kernel model
Wang, X.X.
38cba1ba-039f-427c-ac6f-459768df3834
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Brown, D.J.
04b8f318-c948-45c0-b542-2d75dcad8200
Wang, X.X.
38cba1ba-039f-427c-ac6f-459768df3834
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Brown, D.J.
04b8f318-c948-45c0-b542-2d75dcad8200

Wang, X.X., Chen, S. and Brown, D.J. (2004) Parsimonious support vector machine regression using orthogonal forward selection with the generalized kernel model. Sheffield Machine Learning Workshop. 07 - 10 Sep 2004.

Record type: Conference or Workshop Item (Poster)
PDF
sheffiledMLW05.pdf - Other
Download (142kB)

More information

Published date: 2004
Additional Information: Event Dates: Sept. 7-10, 2004
Venue - Dates: Sheffield Machine Learning Workshop, 2004-09-07 - 2004-09-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260166
URI: https://eprints.soton.ac.uk/id/eprint/260166
PURE UUID: 969bfa92-66d7-4344-abef-71a7ef91467a

Catalogue record

Date deposited: 01 Dec 2004
Last modified: 18 Jul 2017 09:15

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×