Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality

Tools

Foxall, RJ, Cawley, GC ORCID: https://orcid.org/0000-0002-4118-9095, Talbot, NLC, Dorling, SR and Mandic, DP (2002) Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. In: Proceedings of the European Symposium on Artificial Neural Networks. Bruges, Belgium, pp. 19-24.

Full text not available from this repository. (Request a copy)
Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
Faculty of Science > School of Environmental Sciences
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: Faculty of Science > Research Groups > Computational Biology
Faculty of Science > Research Groups > Data Science and AI
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Faculty of Science > Research Groups > Statistics
Depositing User: Rosie Cullington
Date Deposited: 19 May 2011 10:11
Last Modified: 18 Jun 2026 21:36
URI: https://ueaeprints.uea.ac.uk/id/eprint/31002
DOI:

Actions (login required)

View Item View Item