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Nov, 2018
Dirichlet信念网络用于主题结构学习
Dirichlet belief networks for topic structure learning
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He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou
TL;DR
本文介绍了一个基于多层生成模型的主题模型深度架构，通过该模型可发现可解释的主题层级结构，对于提高主题模型的建模精度和可解释性具有显著作用。
Abstract
Recently, considerable research effort has been devoted to developing
deep architectures
for
topic models
to learn topic structures. Although several deep models have been proposed to learn better topic proportio
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