Fast and efficient single pass bayesian learning Zaidi, Nayyar A. and Webb, Geoffrey I. 2013, Fast and efficient single pass bayesian learning, in PAKDD 2013 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 17th Pacific-Asia Conference, Gold Coast, Qld. Part 1, Springer, Berlin, Germany, pp. 149-160, doi: 10.1007/978-3-642-37453-1_13. Attached Files Name Description MIMEType Size Downloads nayyar-fastandeffective-post-2013.pdf Accepted version application/pdf 433.68KB 1 Title Fast and efficient single pass bayesian learning Author(s) Zaidi, Nayyar A. orcid.org/0000-0003-4024-2517 Webb, Geoffrey I. Conference name Knowledge, Discovery and Data Mining. Pacific-Asia Conference (17th : 2013 : Gold Coast, Qld.) Conference location Gold Coast, Qld. Conference dates 2013/04/14 - 2013/04/17 Title of proceedings PAKDD 2013 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 17th Pacific-Asia Conference, Gold Coast, Qld. Part 1 Editor(s) Pei, J. Tseng, V. S. Motoda, H. Xu, G. Publication date 2013 Series Lecture Notes in Computer Science Start page 149 End page 160 Total pages 12 Publisher Springer Place of publication Berlin, Germany Keyword(s) Averaged n-Dependence Estimators Subsumption Resolution Big Data Naive Bayes Bias-Variance Trade-off ISBN 9783642374531 9783642374524 Language eng DOI 10.1007/978-3-642-37453-1_13 Indigenous content off Field of Research 08 Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Free to Read? Yes Free to Read Start Date 2015-01-01 Persistent URL http://hdl.handle.net/10536/DRO/DU:30135397 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) 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. 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 Tue, 03 Mar 2020, 13:19:54 EST Wed, 04 Mar 2020, 04:01:52 EST Wed, 04 Mar 2020, 07:16:35 EST Wed, 04 Mar 2020, 10:17:59 EST Thu, 05 Mar 2020, 05:04:04 EST Tue, 24 Mar 2020, 15:10:10 EST Tue, 24 Mar 2020, 15:18:10 EST Tue, 31 Mar 2020, 12:28:58 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 31 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 04 Mar 2020, 10:17:59 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.