The University of Southampton
University of Southampton Institutional Repository

Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space

Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space
Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space
1-55860-556-8
109-117
Morgan Kaufmann
Cristianini, N.
00885da7-7833-4f0c-b8a0-3f385d89f642
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Sykacek, P.
42669570-7a15-4e78-9b14-5615c0a5fcd4
Shavlik, J.
Cristianini, N.
00885da7-7833-4f0c-b8a0-3f385d89f642
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Sykacek, P.
42669570-7a15-4e78-9b14-5615c0a5fcd4
Shavlik, J.

Cristianini, N., Shawe-Taylor, J. and Sykacek, P. (1998) Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space. Shavlik, J. (ed.) In Machine Learning: Proceedings of the Fifteenth International Conference, ICML'98. Morgan Kaufmann. pp. 109-117 .

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

Published date: 1998
Additional Information: Address: San Francisco, CA
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259654
URI: http://eprints.soton.ac.uk/id/eprint/259654
ISBN: 1-55860-556-8
PURE UUID: 1da36a47-7830-446c-b6b8-d0e0acbfdf63

Catalogue record

Date deposited: 04 Aug 2004
Last modified: 23 Sep 2020 16:33

Export record

Contributors

Author: N. Cristianini
Author: J. Shawe-Taylor
Author: P. Sykacek
Editor: J. Shavlik

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 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.

×