The University of Southampton
University of Southampton Institutional Repository

Orthogonal-least-squares regression: a unified approach for data modelling

Orthogonal-least-squares regression: a unified approach for data modelling
Orthogonal-least-squares regression: a unified approach for data modelling
0925-2312
2670-2681
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Luk, Bing L.
7f992721-74f4-4a2d-b990-afcece627189
Harris, Chris
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Luk, Bing L.
7f992721-74f4-4a2d-b990-afcece627189
Harris, Chris
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Chen, Sheng, Hong, Xia, Luk, Bing L. and Harris, Chris (2009) Orthogonal-least-squares regression: a unified approach for data modelling. Neurocomputing, 72 (10-12), 2670-2681.

Record type: Article
Text
NEUCOM11271.pdf - Version of Record
Download (493kB)

More information

Published date: June 2009
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 267330
URI: http://eprints.soton.ac.uk/id/eprint/267330
ISSN: 0925-2312
PURE UUID: 69e7d190-59d6-46db-b52a-a107d7508fdd

Catalogue record

Date deposited: 05 May 2009 17:00
Last modified: 14 Mar 2024 08:48

Export record

Contributors

Author: Sheng Chen
Author: Xia Hong
Author: Bing L. Luk
Author: Chris Harris

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 http://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.

×