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A novel regularizer for temporally stable learning with an application to Twitter topic classification

Wang, Yakun, Wu, Ga, Bouadjenek, Mohamed Reda, Sanner, Scott, Su, Sen and Zhang, Zhongbao 2019, A novel regularizer for temporally stable learning with an application to Twitter topic classification, in Proceedings of the 2019 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics,, pp. 217-225, doi: 10.1137/1.9781611975673.25.

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Title A novel regularizer for temporally stable learning with an application to Twitter topic classification
Author(s) Wang, Yakun
Wu, Ga
Bouadjenek, Mohamed RedaORCID iD for Bouadjenek, Mohamed Reda orcid.org/0000-0003-1807-430X
Sanner, Scott
Su, Sen
Zhang, Zhongbao
Conference name SIAM SDM19 Conference on Data Mining (2019 : Calgary, Canada)
Conference location Calgary, Canada
Conference dates 02 - 04 May. 2019
Title of proceedings Proceedings of the 2019 SIAM International Conference on Data Mining
Publication date 2019
Start page 217
End page 225
Total pages 9
Publisher Society for Industrial and Applied Mathematics
ISBN 978-1-61197-567-3
Language eng
DOI 10.1137/1.9781611975673.25
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2019, SIAM
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141118

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.