MAP approximation to the variational Bayes Gaussian mixture model and application

MAP approximation to the variational Bayes Gaussian mixture model and application

The learning of variational inference can be widely seen as first estimating the class assignment variable and then using it to estimate parameters of the mixture model. The estimate is mainly performed by computing the expectations of the prior models. However, learning is not exclusive to expectat...

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書目詳細資料
Main Authors:	Lim, Kart-Leong, Wang, Han
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Electrical and electronic engineering Variational Bayes Gaussian Mixture Model
在線閱讀:	https://hdl.handle.net/10356/138544
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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