NMF can be seen as a two-layer directed graphical model with one layer of observed random variables and one layer of hidden random variables.
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The distribution Q will have a simpler character than that of P because marginalizing over P is intractable for all but the simplest of graphical models.
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Curiously, although it was originally designed for acyclic graphical models, it was found that the Belief Propagation algorithm can be used in general diameter of the tree.
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In 2014, she received the ACM ICMI Ten Year Technical Impact Award as one of the authors of a paper on layered graphical models of human behavior.
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Graphical models also help engineers to conceptualize the entire system and simplify the process of transporting the model from one stage to another in the design process.
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While MFT arose primarily in the field of statistical mechanics, it has more recently been applied elsewhere, for example in inference, graphical models theory, neuroscience, and artificial intelligence.
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Reactive Blocks uses the graphical model together with the information from the contracts to formally analyse the application to discover common problems such as deadlocks or incorrect terminations.
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In the case where the graphical model is a tree, an optimal scheduling allows to reach convergence after computing each messages only once ( see next sub-section ).
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Modern developments have extended graphical models to non-parametric analysis, and thus achieved a generality and flexibility that has transformed causal analysis in computer science, epidemiology, and social science.
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Such models are learned from the population by employing machine learning techniques and represented as Probabilistic Graphical Models, from which new solutions can be sampled or generated from guided-crossover.
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