Online Boosting Algorithms for Multi-label Ranking
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/77be4222-4941-4e4c-a62b-76324a3d69fe
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资源简介：
We consider the multi-label ranking approach to multi-label learning. Boosting is a natural method for multi-label ranking as it aggregates weak predictions through majority votes, which can be directly used as scores to produce a ranking of the labels.
提供机构：
TIB
创建时间：
2025-01-02
