The University of Southampton
University of Southampton Institutional Repository

A Variational Approach for Adapting Kernels in Support Vector Regression

A Variational Approach for Adapting Kernels in Support Vector Regression
A Variational Approach for Adapting Kernels in Support Vector Regression
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Kandola, J.S.
c976459a-d502-4688-b741-334c06796ca8
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Kandola, J.S.
c976459a-d502-4688-b741-334c06796ca8

Gao, J.B., Gunn, S.R. and Kandola, J.S. (2000) A Variational Approach for Adapting Kernels in Support Vector Regression. Advances in Neural Information Processing Systems (NIPS13) Kernel Workshop.

Record type: Conference or Workshop Item (Poster)

Full text not available from this repository.

More information

Published date: 2000
Additional Information: Address: Denver, USA
Venue - Dates: Advances in Neural Information Processing Systems (NIPS13) Kernel Workshop, 2000-01-01
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 256451
URI: https://eprints.soton.ac.uk/id/eprint/256451
PURE UUID: 61f7a94e-b5e6-497a-af6e-63b02ac33b80

Catalogue record

Date deposited: 29 Nov 2003
Last modified: 18 Jul 2017 09:46

Export record

Contributors

Author: J.B. Gao
Author: S.R. Gunn
Author: J.S. Kandola

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.

×