Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Liu, Zhangxun"'
Autor:
Wang, Mingzhong, Zou, Hongyan, Liu, Zhangxun, Li, Xiaoyan, Wang, Weichen, Yang, Boxu, Luo, Chunrong, Zhao, Xiaopeng ⁎
Publikováno v:
In Optik December 2022 271
Publikováno v:
In Composites Part B 15 July 2021 217
Existing modularity-based community detection methods attempt to find community memberships which can lead to the maximum of modularity in a fixed graph topology. In this work, we propose to optimize the graph topology through the modularity maximiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::292d4805f71ec6e94b6587985579cae1
Publikováno v:
AAAI
Weakly supervised learning aims at coping with scarce labeled data. Previous weakly supervised studies typically assume that there is only one kind of weak supervision in data. In many applications, however, raw data usually contains more than one ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a4f3d7737112eb1ad4c9e621ca519c0
https://doi.org/10.1609/aaai.v34i04.5823
https://doi.org/10.1609/aaai.v34i04.5823
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
Akademický článek
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Publikováno v:
Journal of Materials Science: Materials in Electronics; Nov2019, Vol. 30 Issue 22, p20243-20252, 10p
Publikováno v:
Advanced Intelligent Computing Theories & Applications. With Aspects of Artificial Intelligence (9783642149313); 2010, p634-640, 7p