Sum–product graphical models

  title={Sum–product graphical models},
  author={Mattia Desana and C. Schn{\"o}rr},
  journal={Machine Learning},
  • Mattia Desana, C. Schnörr
  • Published 2019
  • Mathematics, Computer Science
  • Machine Learning
  • This paper introduces a probabilistic architecture called sum–product graphical model (SPGM). SPGMs represent a class of probability distributions that combines, for the first time, the semantics of probabilistic graphical models (GMs) with the evaluation efficiency of sum–product networks (SPNs): Like SPNs, SPGMs always enable tractable inference using a class of models that incorporate context specific independence. Like GMs, SPGMs provide a high-level model interpretation in terms of… CONTINUE READING

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