Openly accessible

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 SIAM 2019 : Proceedings of the 2019 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, Pa., pp. 217-225, doi: 10.1137/1.9781611975673.

Attached Files
Name Description MIMEType Size Downloads

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 Data Mining. Conference (2019 : Calgary, Alberta)
Conference location Calgary, Alberta
Conference dates 2019/05/02 - 2019/05/04
Title of proceedings SIAM 2019 : Proceedings of the 2019 SIAM International Conference on Data Mining
Editor(s) Berger-Wolf, T
Chawla, N
Publication date 2019
Start page 217
End page 225
Total pages 9
Publisher Society for Industrial and Applied Mathematics
Place of publication Philadelphia, Pa.
ISBN 9781611975673
Language eng
DOI 10.1137/1.9781611975673
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131225

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

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.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 88 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Sat, 02 Nov 2019, 10:17:04 EST

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.