Zobrazeno 1 - 10
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pro vyhledávání: '"Wang Jingli"'
Since the publication of Breiman (2001), Random Forests (RF) have been widely used in both regression and classification. Later on, other forests are also proposed and studied in literature and Mondrian Forests are notable examples built on the Mondr
Externí odkaz:
http://arxiv.org/abs/2406.00660
Autor:
Qing, Huan, Wang, Jingli
Publikováno v:
Expert Systems with Applications. 2024 Jan 1;235:121088
Modeling and estimating mixed memberships for overlapping unipartite un-weighted networks has been well studied in recent years. However, to our knowledge, there is no model for a more general case, the overlapping bipartite weighted networks. To clo
Externí odkaz:
http://arxiv.org/abs/2211.00912
Publikováno v:
Shipin yu jixie, Vol 40, Iss 6, Pp 69-76,103 (2024)
[Objective] Achieving a rapid, sensitive, and visual detection of 6-benzylaminopurine （6-BA） residues in vegetables. [Methods] Based on the peroxidase-like activity and specific recognition of Fe3O4 magnetic molecularly imprinted nanoparticles
Externí odkaz:
https://doaj.org/article/4ed98b0f192a4b178abdb69ed0f7396f
Publikováno v:
In Microchemical Journal December 2024 207
Autor:
Qing, Huan, Wang, Jingli
Publikováno v:
Knowledge and Information Systems. 2024 Feb;66(2):879-904
We consider the problem of community detection in overlapping weighted networks, where nodes can belong to multiple communities and edge weights can be finite real numbers. To model such complex networks, we propose a general framework - the mixed me
Externí odkaz:
http://arxiv.org/abs/2112.04389
Autor:
Zhang, Chuanmin, Wang, Jingli, Fan, Mengyue, Han, Lei, Xiao, Bolian, Xie, Xiaoli, Fu, Yao, Zhai, Yongqing, Wang, Chao, Zhang, Ning, Xu, Zhilong, Wang, Lijuan
Publikováno v:
In Journal of Drug Delivery Science and Technology August 2024 97
Autor:
Qing, Huan, Wang, Jingli
Publikováno v:
Knowledge-Based Systems (2023)
The bipartite network appears in various areas, such as biology, sociology, physiology, and computer science. \cite{rohe2016co} proposed Stochastic co-Blockmodel (ScBM) as a tool for detecting community structure of binary bipartite graph data in net
Externí odkaz:
http://arxiv.org/abs/2109.10319
Autor:
Qing, Huan, Wang, Jingli
Mixed membership community detection is a challenge problem in network analysis. To estimate the memberships and study the impact of regularized spectral clustering under the mixed membership stochastic block (MMSB) model, this article proposes two e
Externí odkaz:
http://arxiv.org/abs/2107.14705
Autor:
Pandey, Rajan, Roberts, Michelle L., Wang, Jingli, Pereckas, Michaela, Jensen, David, Greene, Andrew S., Widlansky, Michael E., Liang, Mingyu
Publikováno v:
In Laboratory Investigation May 2024 104(5)
Autor:
Zheng, Shuhuai, Guo, Hongtao, Pan, Fei, Meng, Fanmao, Jiang, Haojie, Ruan, Lingyang, Wang, Jingli, Gao, Yukui, Lu, Wei
Publikováno v:
In Nano Energy April 2024 122