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pro vyhledávání: '"He, Zhongshi"'
Partial Label Learning (PLL) is a typical weakly supervised learning task, which assumes each training instance is annotated with a set of candidate labels containing the ground-truth label. Recent PLL methods adopt identification-based disambiguatio
Externí odkaz:
http://arxiv.org/abs/2409.19600
Recently, some span-based methods have achieved encouraging performances for joint aspect-sentiment analysis, which first extract aspects (aspect extraction) by detecting aspect boundaries and then classify the span-level sentiments (sentiment classi
Externí odkaz:
http://arxiv.org/abs/2208.11283
Publikováno v:
In Water Research X 1 January 2025 26
Autor:
Zeng, Lian, Zhao, WenBo, Han, Tiantian, Qing, Fangfang, He, Zhongshi, Zhao, Qiang, Luo, Ailin, Hu, Pengchao, Ding, Xudong, Zhang, Zhen
Publikováno v:
In Chemico-Biological Interactions 1 September 2024 400
Publikováno v:
In Harmful Algae August 2024 137
Autor:
He, Zhongshi, Chen, Youxin, Gao, Jin, Xu, Yewei, Zhou, Xinya, Yang, Rui, Geng, Ruozhen, Li, Renhui, Yu, Gongliang
Publikováno v:
In Harmful Algae May 2024 135
Publikováno v:
In Green Carbon October 2024
Search and inference are two main strategies for optimally solving Distributed Constraint Optimization Problems (DCOPs). Recently, several algorithms were proposed to combine their advantages. Unfortunately, such algorithms only use an approximated i
Externí odkaz:
http://arxiv.org/abs/1911.12716
Belief propagation approaches, such as Max-Sum and its variants, are a kind of important methods to solve large-scale Distributed Constraint Optimization Problems (DCOPs). However, for problems with n-ary constraints, these algorithms face a huge cha
Externí odkaz:
http://arxiv.org/abs/1906.06863
Autor:
Qin, Bingqing1 (AUTHOR), He, Zhongshi1 (AUTHOR), Xie, Lixia1 (AUTHOR), Feng, Shenglan1 (AUTHOR), Ye, Junjie1 (AUTHOR), Gui, Jianjun1 (AUTHOR), Sun, Xiaodong1 (AUTHOR) sangming@whu.edu.cn, Sang, Ming1 (AUTHOR) sangming@whu.edu.cn
Publikováno v:
Cancer Medicine. Feb2024, Vol. 13 Issue 3, p1-15. 15p.