Multiclass anomaly detector: The cs++ support vector machine Shilton, Alistair, Rajasegarar, Sutharshan and Palaniswami, Marimuthu 2020, Multiclass anomaly detector: The cs++ support vector machine, Journal of Machine Learning Research, vol. 21, pp. 1-39. Attached Files Name Description MIMEType Size Downloads Title Multiclass anomaly detector: The cs++ support vector machine Author(s) Shilton, Alistair orcid.org/0000-0002-0849-3271 Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736 Palaniswami, Marimuthu Journal name Journal of Machine Learning Research Volume number 21 Article ID 213 Start page 1 End page 39 Total pages 39 Publisher JMLR Place of publication Cambridge, Ma. Publication date 2020 ISSN 1532-4435 1533-7928 Keyword(s) Multiclass Anomaly Detection SVM Kernel Machines 1-class SVM Language eng Indigenous content off Field of Research 08 Information and Computing Sciences 17 Psychology and Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30145279 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 12 Nov 2020, 12:37:16 EST Thu, 12 Nov 2020, 12:38:06 EST Fri, 13 Nov 2020, 04:02:40 EST Fri, 13 Nov 2020, 05:05:02 EST Fri, 13 Nov 2020, 10:42:38 EST Fri, 13 Nov 2020, 10:44:03 EST Fri, 13 Nov 2020, 15:14:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 6 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 12 Nov 2020, 12:38:06 EST

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