The University of Southampton
University of Southampton Institutional Repository

Mean Field Method for the Support Vector Machine Regression

Mean Field Method for the Support Vector Machine Regression
Mean Field Method for the Support Vector Machine Regression
0925-2312
391-405
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Gao, J.B., Gunn, S.R. and Harris, C.J. (2003) Mean Field Method for the Support Vector Machine Regression. Neurocomputing, 50, 391-405.

Record type: Article

Full text not available from this repository.

More information

Published date: 2003
Organisations: Electronic & Software Systems, Southampton Wireless Group

Identifiers

Local EPrints ID: 257847
URI: https://eprints.soton.ac.uk/id/eprint/257847
ISSN: 0925-2312
PURE UUID: 918495d5-1351-4d6b-a7f8-24b6b1c4d9e1

Catalogue record

Date deposited: 29 Nov 2003
Last modified: 16 Jul 2019 22:56

Export record

Contributors

Author: J.B. Gao
Author: S.R. Gunn
Author: C.J. Harris

University divisions

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.

×