Ensemble Kalman filtering for online Gaussian process regression and learning

Kuzin, D., Yang, L., Isupova, O. et al. (1 more author) (2018) Ensemble Kalman filtering for online Gaussian process regression and learning. In: 2018 21st International Conference on Information Fusion (FUSION). 2018 21st International Conference on Information Fusion (FUSION), 10-13 Jul 2018, Cambridge, UK. IEEE , UK , pp. 39-46. ISBN 978-0-9964527-6-2

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Copyright, Publisher and Additional Information: © 2018 ISIF. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Kalman filters; Gaussian processes; Estimation; Prediction algorithms; Bayes methods; Covariance matrices; Noise measurement
Dates:
  • Accepted: 15 May 2018
  • Published (online): 6 September 2018
  • Published: 6 September 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 Sep 2018 15:21
Last Modified: 24 Sep 2018 15:21
Published Version: https://doi.org/10.23919/ICIF.2018.8455785
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.23919/ICIF.2018.8455785

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