Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis

Bai, Lu, Cui, Lixin, xu, lixiang et al. (3 more authors) (2023) Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. IEEE Transactions on Neural Networks and Learning Systems. pp. 1808-1822. ISSN 2162-237X

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 IEEE. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Accepted: 21 June 2020
  • Published (online): 21 July 2020
  • Published: 1 April 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 29 Jun 2020 17:20
Last Modified: 24 Jan 2024 00:18
Published Version: https://doi.org/10.1109/TNNLS.2020.3006738
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1109/TNNLS.2020.3006738

Download

Filename: TNN_FINANCE_v5_R.pdf

Description: TNN_FINANCE_v5_R

Export

Statistics