Apr 9, 2019 · We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum ...
Aug 4, 2017 · Our criterion can be applied to a large class of hierarchical latent variable models, such as the Naive Bayes models, stochastic block models ...
ABSTRACT. We propose a new model selection criterion based on the mini- mum description length principle in a name of the decomposed normalized maximum ...
We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum likelihood criterion ...
This work proposes a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum ...
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Aug 13, 2017 · We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum ...
We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum likelihood (DNML) ...
We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum likelihood ...
Apr 9, 2019 · We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum ...
We propose a new model selection criterion based on the minimum description length principle in a name of the decomposed normalized maximum likelihood (DNML) ...