Cumulative restricted Boltzmann machines for ordinal matrix data analysis Tran, Truyen, Phung, Dinh and Venkatesh, Svetha 2012, Cumulative restricted Boltzmann machines for ordinal matrix data analysis, in ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, JMLR : workshop and conference proceedings, [Singapore], pp. 411-426. Attached Files Name Description MIMEType Size Downloads tran-cumulativerestricted-2012.pdf Published version application/pdf 2.96MB 31 Title Cumulative restricted Boltzmann machines for ordinal matrix data analysis Author(s) Tran, Truyen orcid.org/0000-0001-6531-8907 Phung, Dinh orcid.org/0000-0002-9977-8247 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Asian Conference on Machine Learning (4th : 2012 : Singapore) Conference location Singapore Conference dates 4-6 Nov. 2012 Title of proceedings ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning Editor(s) Hoi, Steven C.H. Buntine, Wray Publication date 2012 Conference series Asian Conference on Machine Learning Start page 411 End page 426 Total pages 16 Publisher JMLR : workshop and conference proceedings Place of publication [Singapore] Keyword(s) cumulative restricted Boltzmann machine ordinal analysis matrix data Summary Ordinal data is omnipresent in almost all multiuser-generated feedback - questionnaires, preferences etc. This paper investigates modelling of ordinal data with Gaussian restricted Boltzmann machines (RBMs). In particular, we present the model architecture, learning and inference procedures for both vector-variate and matrix-variate ordinal data. We show that our model is able to capture latent opinion profile of citizens around the world, and is competitive against state-of-art collaborative filtering techniques on large-scale public datasets. The model thus has the potential to extend application of RBMs to diverse domains such as recommendation systems, product reviews and expert assessments. Language eng Field of Research 120403 Engineering Design Methods Socio Economic Objective 899999 Information and Communication Services not elsewhere classified HERDC Research category E1 Full written paper - refereed Copyright notice ©2012, The Authors Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30052641 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) 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 Fri, 24 May 2013, 12:09:38 EST Fri, 24 May 2013, 14:05:24 EST Fri, 24 May 2013, 14:15:52 EST Fri, 24 May 2013, 14:17:46 EST Fri, 24 May 2013, 14:23:52 EST Mon, 27 May 2013, 08:41:40 EST Mon, 27 May 2013, 13:18:59 EST Mon, 10 Jun 2013, 10:29:51 EST Wed, 21 Oct 2015, 14:46:59 EST Tue, 23 Feb 2016, 13:51:50 EST Thu, 03 Mar 2016, 11:25:48 EST Thu, 09 Jun 2016, 14:04:52 EST Tue, 05 Dec 2017, 12:40:44 EST Fri, 07 Sep 2018, 16:30:24 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 904 Abstract Views, 31 File Downloads  -  Detailed Statistics Created: Fri, 24 May 2013, 12:09:38 EST