On the Robustness of Average Losses for Partial-Label Learning
Partial-label learning (PLL) utilizes instances with PLs, where a PL includes several candidate labels but only one is the true label (TL). In PLL, identification-based strategy (IBS) purifies each PL on the fly to select the (most likely) TL for training; average-based strategy (ABS) treats all can...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 5 vom: 12. Apr., Seite 2569-2583
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| 1. Verfasser: |
Lv, Jiaqi
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Biao,
Feng, Lei,
Xu, Ning,
Xu, Miao,
An, Bo,
Niu, Gang,
Geng, Xin,
Sugiyama, Masashi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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