BriefGPT.xyz
Jan, 2020
基于片段聚合的混合成员随机块模型
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
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Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Reformat
TL;DR
本文提出了一种基于分裂聚合非参数方法的混合成员随机块模型,可以较好地应用于网络数据的学习和社区结构的建模,同时进行了合成和真实数据的验证。
Abstract
The
mixed-membership stochastic blockmodel
~(MMSB) is proposed as one of the state-of-the-art
bayesian relational methods
suitable for learning the complex hidden structure underlying the network data. However, th
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