A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach

Wang, P., Mihaylova, L. orcid.org/0000-0001-5856-2223, Munir, S. et al. (6 more authors) (2021) A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Processing, 183. 108034. ISSN 0165-1684

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Published by Elsevier B.V. This is an author produced version of a paper subsequently published in Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Gaussian process methods; Symmetric diagonally dominant projection; Kernel approximation; Sustainable development; Air quality forecasting
Dates:
  • Accepted: 8 February 2021
  • Published (online): 12 February 2021
  • Published: June 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/T013265/1
Engineering and Physical Sciences Research CouncilEP/T013265/1
Depositing User: Symplectic Sheffield
Date Deposited: 15 Feb 2021 10:25
Last Modified: 17 Feb 2022 10:27
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.sigpro.2021.108034

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