Mengzi Tang
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Machine learning methods for ordinal classification with absolute and relative information
(2021) -
A comparative study of machine learning methods for ordinal classification with absolute and relative information
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- Journal Article
- A1
- open access
Probabilistic topic modelling in food spoilage analysis : a case study with Atlantic salmon (Salmo salar)
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Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information
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Combining absolute and relative information with frequency distributions for ordinal classification
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Fusing absolute and relative information for augmenting the method of nearest neighbors for ordinal classification