Thi Thu Thuy Nguyen
An online variational inference and ensemble based multi-label classifier for data streams.
Nguyen, Thi Thu Thuy; Nguyen, Tien Thanh; Liew, Alan Wee-Chung; Wang, Shi-Lin; Liang, Tiancai; Hu, Yongjiang
Authors
Dr Thanh Nguyen t.nguyen11@rgu.ac.uk
Senior Research Fellow
Alan Wee-Chung Liew
Shi-Lin Wang
Tiancai Liang
Yongjiang Hu
Abstract
Recently, multi-label classification algorithms have been increasingly required by a diversity of applications, such as text categorization, web, and social media mining. In particular, these applications often have streams of data coming continuously, and require learning and predicting done on-the-fly. In this paper, we introduce a scalable online variational inference based ensemble method for classifying multi-label data, where random projections are used to create the ensemble system. As a second-order generative method, the proposed classifier can effectively exploit the underlying structure of the data during learning. Experiments on several real-world datasets demonstrate the superior performance of our new method over several well-known methods in the literature.
Citation
NGUYEN, T.T.T., NGUYEN, T.T., LIEW, A.W.-C., WANG, S.-L., LIANG, T. and HU, Y. 2019. An online variational inference and ensemble based multi-label classifier for data streams. In Proceedings of 11th International conference on advanced computational intelligence (ICACI 2019), 7-9 June 2019, Guilin, China. Piscataway: IEEE [online], pages 302-307. Available from: https://doi.org/10.1109/ICACI.2019.8778594
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 11th International conference on advanced computational intelligence (ICACI 2019) |
Start Date | Jun 7, 2019 |
End Date | Jun 9, 2019 |
Acceptance Date | Mar 1, 2019 |
Online Publication Date | Jul 29, 2019 |
Publication Date | Jul 29, 2019 |
Deposit Date | Aug 23, 2019 |
Publicly Available Date | Aug 23, 2019 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Peer Reviewed | Peer Reviewed |
Pages | 302-307 |
Series ISSN | 2573-3311 |
DOI | https://doi.org/10.1109/ICACI.2019.8778594 |
Keywords | Variational inference; Random projection; Ensemble method; Online learning; Multi-label data stream |
Public URL | https://rgu-repository.worktribe.com/output/363846 |
Contract Date | Aug 23, 2019 |
Files
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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