External Consistency Maintenance Algorithm for Chain and Stellate Structures of Algebraic Bayesian Networks: Statistical Experiments for Running Time Analysis

PROCEEDINGS OF THE THIRD INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'18), VOL 2(2019)

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摘要
This article describes an experiment demonstrating the running time of the algorithm for maintainance of external consistency in algebraic Bayesian networks. In the experiment, the stellate and chain structures of algebraic Bayesian networks are compared. The results of the experiment demonstrate the dependency of the algorithm complexity on the number of atoms in the network, as well as on the intersections and in the fragments of knowledge.
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关键词
Probabilistic graphical models,Algebraic bayesian networks,Knowledge patterns,Global probabilistic-logic inference,Maintenance of external consistency,Statistical experiments
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