The University of Southampton
University of Southampton Institutional Repository

Sensitivity based pruning of input variables by means of weight cascaded retraining

Sensitivity based pruning of input variables by means of weight cascaded retraining
Sensitivity based pruning of input variables by means of weight cascaded retraining
Viaene, S.
68e01ebc-8a4d-4460-86bf-18711fcee8d6
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Dedene, G.
8afb894b-10b1-48d9-8751-4fab7a71b8ca
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Vandenbulcke, J.
9b6ad7f7-3999-42db-a261-316da5cd7e56
Viaene, S.
68e01ebc-8a4d-4460-86bf-18711fcee8d6
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Dedene, G.
8afb894b-10b1-48d9-8751-4fab7a71b8ca
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Vandenbulcke, J.
9b6ad7f7-3999-42db-a261-316da5cd7e56

Viaene, S., Baesens, B., Dedene, G., Vanthienen, J. and Vandenbulcke, J. (2000) Sensitivity based pruning of input variables by means of weight cascaded retraining. The Fourth International Conference and Exhibition on the Practical Application of Knowledge Discovery and Data Mining (PADD'2000), Manchester, United Kingdom. 10 - 12 Apr 2000.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2000
Venue - Dates: The Fourth International Conference and Exhibition on the Practical Application of Knowledge Discovery and Data Mining (PADD'2000), Manchester, United Kingdom, 2000-04-10 - 2000-04-12

Identifiers

Local EPrints ID: 36762
URI: http://eprints.soton.ac.uk/id/eprint/36762
PURE UUID: 8ea4e6c7-e6e2-461b-a93d-249586b0b7a6
ORCID for B. Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 31 Jul 2006
Last modified: 12 Dec 2021 03:27

Export record

Contributors

Author: S. Viaene
Author: B. Baesens ORCID iD
Author: G. Dedene
Author: J. Vanthienen
Author: J. Vandenbulcke

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.

×