The University of Southampton
University of Southampton Institutional Repository

An Orthogonal Forward Regression Algorithm Combined with Basis Pursuit and D-Optimality

An Orthogonal Forward Regression Algorithm Combined with Basis Pursuit and D-Optimality
An Orthogonal Forward Regression Algorithm Combined with Basis Pursuit and D-Optimality
57-62
Hong, X.
b8f251c3-e142-4555-a54c-c504de966b03
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Hong, X.
b8f251c3-e142-4555-a54c-c504de966b03
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Hong, X., Brown, M., Chen, S. and Harris, C.J. (2003) An Orthogonal Forward Regression Algorithm Combined with Basis Pursuit and D-Optimality. 2nd IEEE SMC UK & RI Chapter Conference: Cybernetics Intelligence - Challenges and Advances, University of Reading, U.K.. pp. 57-62 .

Record type: Conference or Workshop Item (Other)
Text
xhCICA03.pdf - Other
Download (197kB)

More information

Published date: 2003
Additional Information: Event Dates: 17 September 2003
Venue - Dates: 2nd IEEE SMC UK & RI Chapter Conference: Cybernetics Intelligence - Challenges and Advances, University of Reading, U.K., 2003-09-17
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258227
URI: http://eprints.soton.ac.uk/id/eprint/258227
PURE UUID: 7c9a35b3-f1be-4ce3-8610-3e1a967e4aaa

Catalogue record

Date deposited: 19 Sep 2003
Last modified: 14 Mar 2024 06:05

Export record

Contributors

Author: X. Hong
Author: M. Brown
Author: S. Chen
Author: C.J. 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.

×