Large-scale online kernel learning with random feature reparameterization Nguyen, Tu Dinh, Le, Trung Minh, Bui, Hung and Phung, Quoc-Dinh 2017, Large-scale online kernel learning with random feature reparameterization, in IJCAI 2017 : Proceedings of the 26th International Joint Conference on Artificial Intelligence 2017, [The Conference], [Melbourne, Vic.], pp. 2543-2549. Attached Files Name Description MIMEType Size Downloads Title Large-scale online kernel learning with random feature reparameterization Author(s) Nguyen, Tu Dinh orcid.org/0000-0002-7070-8093 Le, Trung Minh orcid.org/0000-0002-7070-8093 Bui, Hung Phung, Quoc-Dinh orcid.org/0000-0002-9977-8247 Conference name International Joint Conference on Artificial Intelligence (26th : 2017 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 2017/08/19 - 2017/08/25 Title of proceedings IJCAI 2017 : Proceedings of the 26th International Joint Conference on Artificial Intelligence 2017 Publication date 2017 Conference series International Joint Conference on Artificial Intelligence Start page 2543 End page 2549 Total pages 7 Publisher [The Conference] Place of publication [Melbourne, Vic.] ISBN 9780999241103 ISSN 1045-0823 Language eng HERDC Research category E1 Full written paper - refereed Copyright notice ©[2017, The Conference] Persistent URL http://hdl.handle.net/10536/DRO/DU:30104952 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 17 Nov 2017, 20:07:38 EST Sat, 18 Nov 2017, 04:01:23 EST Sat, 18 Nov 2017, 05:05:26 EST Tue, 21 Nov 2017, 10:39:50 EST Tue, 21 Nov 2017, 10:44:12 EST Tue, 08 May 2018, 10:42:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 19 times in Scopus Search Google Scholar Access Statistics: 237 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 17 Nov 2017, 20:07:38 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.