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arXiv math/0301255math.AGmath.ACmath.PR

Algebraic Geometry of Bayesian Networks

Luis David Garcia, Michael Stillman, Bernd Sturmfels

英文摘要:

We study the algebraic varieties defined by the conditional independence statements of Bayesian Networks. A complete algebraic classification is given for Bayesian Networks on at most five random variables. Hidden variables are related to the geometry of higher secant varieties.

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