Erratum: Gaussian Process Online Learning with a Sparse Data Stream (IEEE Robot. Autom. Lett. (2020) 5: 4 (5977-5984) DOI: 10.1109/LRA.2020.3010752)

Jaehyun Lim, Jehyun Park, Jongeun Choi

Research output: Contribution to journalComment/debatepeer-review

1 Citation (Scopus)

Abstract

A letter entitled 'Gaussian Process Online Learning With a Sparse Data Stream' suggests an approach for extending the infinite-horizon Gaussian processes (IHGPs, [1]) to deal with a sparse data stream. We point out that there is an error in differentiating the discrete algebraic Riccati equation (DARE), which significantly changes the results of the benchmarking study in a sense that the proposed approach using the solution of the Lyapunov equation does not show outperformance against the original IHGP. In this letter, we provide a correction with details and its consequential implication.

Original languageEnglish
Article number9310363
Pages (from-to)429-430
Number of pages2
JournalIEEE Robotics and Automation Letters
Volume6
Issue number2
DOIs
Publication statusPublished - 2021 Apr

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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