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Exploiting side information in Bayesian nonparametric models and their applications

Li, Cheng 2015, Exploiting side information in Bayesian nonparametric models and their applications, PhD thesis, School of Information Technology, Deakin Univeristy.

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Title Exploiting side information in Bayesian nonparametric models and their applications
Author Li, Cheng
Institution Deakin Univeristy
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD
Thesis advisor Phung, Dinh
Rana, Santu
She, Fenghua (Mary)
Date submitted 2015-08
Keyword(s) Bayesian nonparametric (BNP) models
side information
relations between data
novel models for data clustering
medical data analysis
Summary  My research is to exploit side information into advanced Bayesian nonparametric models. We have developed some novel models for data clustering and medical data analysis and also have made our methods scalable for large-scale data. I have published my research in several journal and conference papers.
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 861699 Computer Hardware and Electronic Equipment not elsewhere classified
Description of original xxi, 188 pages : illustrations, tables, graphs
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079443

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Wed, 11 Nov 2015, 15:44:55 EST by Kate Percival

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.