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Combining Absolute and Relative Information with Frequency Distributions for Ordinal Classification
A large amount of labelled data (absolute information) is usually needed for an ordinal classifier to attain a good performance. As shown in a recent paper by the present authors, the lack of a large amount of absolute information can be overcome by additionally considering some side information in...
Autores principales: | Tang, Mengzi, Pérez-Fernández, Raúl, De Baets, Bernard |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274675/ http://dx.doi.org/10.1007/978-3-030-50143-3_47 |
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