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Hybrid generative-discriminative models are useful in biomedical applications- generative modeling extracts interpretable features from raw data, highlighting its properties and increasing classification accuracy when used as input for a discriminative classifier. This raises the question: which generative model should be used for a particular application? In this paper we apply a recently proposed...
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