SiGMoiD: A super-statistical generative model for binary data
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DOI: 10.1371/journal.pcbi.1009275
Abstract: In modern computational biology, there is great interest in building probabilistic models to describe collections of a large number of co-varying binary variables. However, current approaches to build generative models rely on modelers’ identification of… read more here.
Keywords: statistical generative; binary variables; super statistical; biology ... See more keywords