Learning nonparametric Volterra kernels with Gaussian processes

Ross, M., Smith, M.T. and Álvarez, M.A. (Submitted: 2021) Learning nonparametric Volterra kernels with Gaussian processes. arXiv. (Submitted)

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Ross, M.
  • Smith, M.T.
  • Álvarez, M.A.
Copyright, Publisher and Additional Information:

© 2021 The Author(s). For reuse permissions, please contact the Author(s).

Dates:
  • Submitted: 10 June 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 Science Research Council
EP/R034303/1; EP/T00343X/1
Depositing User: Symplectic Sheffield
Date Deposited: 30 Jun 2021 08:47
Last Modified: 30 Jun 2021 08:47
Published Version: https://arxiv.org/abs/2106.05582
Status: Submitted
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Open Archives Initiative ID (OAI ID):

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