Manifold regularized stochastic block model

Manifold regularized stochastic block model

Stochastic block models (SBMs) play essential roles in network analysis, especially in those related to unsupervised learning (clustering). Many SBM-based approaches have been proposed to uncover network clusters, by means of maximizing the block-wise posterior probability that generates edges bridg...

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書目詳細資料
Main Authors:	He, Tiantian, Bai, Lu, Ong, Yew-Soon
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2021
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Pattern Clustering Probability
在線閱讀:	https://hdl.handle.net/10356/147803
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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