Efficient learning of discrete graphical models
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DOI: 10.1088/1742-5468/ac3aea
Abstract: Graphical models are useful tools for describing structured high-dimensional probability distributions. Development of efficient algorithms for learning graphical models with least amount of data remains an active research topic. Reconstruction of graphical models that describe… read more here.
Keywords: discrete graphical; graphical models; efficient learning; learning discrete ... See more keywords