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Recurrent neural networks for structured data

Pham, Trang Thi Minh 2019, Recurrent neural networks for structured data, Ph.D. thesis, School of Information Technology, Deakin University.

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Title Recurrent neural networks for structured data
Author Pham, Trang Thi Minh
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Date submitted 2019-01-08
Summary A key challenge in machine learning is to explore and incorporate the complex nature of real-world data structures into the training models. The contributions of this thesis are novel RNN architectures for different types of structured data.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Description of original 188 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30117166

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Created: Wed, 30 Jan 2019, 12:36:38 EST by Bayne Christine

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.