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Machine learning methods for ordinal classification with absolute and relative information

Mengzi Tang (UGent)
(2021)
Author
Promoter
(UGent) and Raúl Pérez-Fernández
Organization

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Please use this url to cite or link to this publication:

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}},
}