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pro vyhledávání: '"Gao-Le Li"'
Autor:
Qun Li, Feng Kuang, Lan-Zhe Guo, Qi Zhang, Nan Ma, Guobin Wu, Gao-Le Li, Zhi Zhou, Liu Zhangxun, Yu-Feng Li, Jie-Jing Shao
Publikováno v:
KDD
In multi-label tasks, sufficient and class-balanced label is usually hard to obtain, which makes it challenging to train a good classifier. In this paper, we consider the problem of learning from imbalanced and incomplete supervision, where only a sm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b57ff6bd9b8f58f08e5577af6a2f966
https://doi.org/10.1145/3447548.3467305
https://doi.org/10.1145/3447548.3467305
