Unsupervised Learning with Truncated Gaussian Graphical Models

15 Nov 2016Qinliang SuXuejun LiaoChunyuan LiZhe GanLawrence Carin

Gaussian graphical models (GGMs) are widely used for statistical modeling, because of ease of inference and the ubiquitous use of the normal distribution in practical approximations. However, they are also known for their limited modeling abilities, due to the Gaussian assumption... (read more)

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