- Author
- Mengzi Tang
- Promoter
- Bernard De Baets (UGent) and Raúl Pérez-Fernández
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8719730
- MLA
- Tang, Mengzi. Machine Learning Methods for Ordinal Classification with Absolute and Relative Information. Ghent University. Faculty of Bioscience Engineering, 2021.
- APA
- Tang, M. (2021). Machine learning methods for ordinal classification with absolute and relative information. Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium.
- Chicago author-date
- Tang, Mengzi. 2021. “Machine Learning Methods for Ordinal Classification with Absolute and Relative Information.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
- Chicago author-date (all authors)
- Tang, Mengzi. 2021. “Machine Learning Methods for Ordinal Classification with Absolute and Relative Information.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
- Vancouver
- 1.Tang M. Machine learning methods for ordinal classification with absolute and relative information. [Ghent, Belgium]: Ghent University. Faculty of Bioscience Engineering; 2021.
- IEEE
- [1]M. Tang, “Machine learning methods for ordinal classification with absolute and relative information,” Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium, 2021.
@phdthesis{8719730,
author = {{Tang, Mengzi}},
isbn = {{9789463574358}},
language = {{eng}},
pages = {{XXXII, 144}},
publisher = {{Ghent University. Faculty of Bioscience Engineering}},
school = {{Ghent University}},
title = {{Machine learning methods for ordinal classification with absolute and relative information}},
year = {{2021}},
}