Zobrazeno 1 - 9
of 9
pro vyhledávání: '"SONG Yitao"'
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 1, Pp 112-120 (2023)
【Objective】 Global warming is expected to increase the frequency of extreme weather events such as floods and droughts; understanding their statistical characteristics is important for developing mitigation strategies. Taking Anhui province as an
Externí odkaz:
https://doaj.org/article/73cb327dfebc46a09077ecfdbc0972d9
In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large graphs, especially those sparse ones, this method performs un
Externí odkaz:
http://arxiv.org/abs/2411.01792
We propose the DPSM method, a density-based node clustering approach that automatically determines the number of clusters and can be applied in both data space and graph space. Unlike traditional density-based clustering methods, which necessitate ca
Externí odkaz:
http://arxiv.org/abs/2411.01780
Autor:
Song, Yitao, Peng, Yewang, Yao, Shuang, Zhang, Peng, Wang, Yujie, Gu, Jianmin, Lu, Tongbu, Zhang, Zhiming
Publikováno v:
In Chinese Chemical Letters February 2022 33(2):1047-1050
Publikováno v:
Journal of Physics: Conference Series. 1074:012090
Publikováno v:
Chinese Science Bulletin; Mar2006, Vol. 51 Issue 5, p573-584, 12p, 6 Charts, 8 Graphs
Publikováno v:
Chinese Science Bulletin; Jul2005, Vol. 50 Issue 14, p1490-1495, 5p, 4 Charts, 1 Graph
Publikováno v:
Chinese Journal of Geochemistry; 2005, Vol. 24 Issue 1, p1-8, 8p, 2 Charts, 2 Graphs
Publikováno v:
Chinese Science Bulletin; Jan2000, Vol. 45 Issue 1, p11-15, 5p