Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs-Reference-Cited by-同舟云学术

Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs

Published:2023 Issue: Volume:71 Page:2027-2042
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Money Rohan T.¹^ORCID,Krishnan Joshin P.²^ORCID,Beferull-Lozano Baltasar³^ORCID

Affiliation:

1. WISENET Lab, Department of ICT, University of Agder, Grimstad, Norway

2. SIGIPRO Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway

3. WISENET Center, Department of ICT, University of Agder, Grimstad, Norway

Funder

IKTPLUSS INDURB

SFI Offshore Mechatronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10141675.pdf?arnumber=10141675

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4. Online kernel learning with a near optimal sparsity bound;zhang;Proc Int Conf Mach Learn,0

5. Large scale online kernel learning;lu;J Mach Learn Res,2016

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