Exploiting Field Dependencies for Learning on Categorical Data
Traditional approaches for learning on categorical data underexploit the dependencies between columns (a.k.a. fields) in a dataset because they rely on the embedding of data points driven alone by the classification/regression loss. In contrast, we propose a novel method for learning on categorical...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 24. Nov., Seite 13509-13522
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| 1. Verfasser: |
Li, Zhibin
(VerfasserIn) |
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| Weitere Verfasser: |
Koniusz, Piotr,
Zhang, Lu,
Pagendam, Daniel Edward,
Moghadam, Peyman |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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