Correlated chained Gaussian processes for datasets with multiple annotators

Gil-Gonzalez, J., Giraldo, J.-J., Alvarez-Meza, A.M. et al. (2 more authors) (2021) Correlated chained Gaussian processes for datasets with multiple annotators. IEEE Transactions on Neural Networks and Learning Systems, 34 (8). pp. 4514-4528. ISSN 2162-237X

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Gil-Gonzalez, J.
  • Giraldo, J.-J.
  • Alvarez-Meza, A.M.
  • Orozco-Gutierrez, A.
  • Alvarez, M.A.
Copyright, Publisher and Additional Information:

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Keywords: Multiple annotators; Correlated Chained Gaussian Processes; Variational inference; Semi-parametric latent factor model
Dates:
  • Published: 11 October 2021
  • Published (online): 11 October 2021
  • Accepted: 26 September 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/R034303/1; EP/T00343X/1
Rosetrees Trust
n/a
Depositing User: Symplectic Sheffield
Date Deposited: 22 Oct 2021 06:14
Last Modified: 24 Jun 2024 15:27
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tnnls.2021.3116943
Open Archives Initiative ID (OAI ID):

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