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Jun, 2012
网络数据的无限潜在属性模型
An Infinite Latent Attribute Model for Network Data
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Konstantina Palla, David Knowles, Zoubin Ghahramani
TL;DR
本文提出了一种基于层次贝叶斯模型的潜在变量模型，能更好地提取社交和生物学网络数据的结构关系并预测，相比只有一个层级的模型，本模型在预测性能上有显著的改进。
Abstract
latent variable models
for
network data
extract a summary of the relational structure underlying an observed network. The simplest possible models subdivide nodes of the network into clusters; the probability of
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