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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Bibliographic Details
Main Authors: Lim, Kart-Leong, Wang, Han
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138544
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Institution: Nanyang Technological University
Language: English
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