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arxiv: 1206.5263 · v1 · pith:G63KWOTVnew · submitted 2012-06-20 · 💻 cs.AI · cs.LG· stat.ML

Reading Dependencies from Polytree-Like Bayesian Networks

classification 💻 cs.AI cs.LGstat.ML
keywords compositioncriteriondependenciesreadingtransitivityweakargueassuming
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We present a graphical criterion for reading dependencies from the minimal directed independence map G of a graphoid p when G is a polytree and p satisfies composition and weak transitivity. We prove that the criterion is sound and complete. We argue that assuming composition and weak transitivity is not too restrictive.

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