An Algorithm Based on Loop-Cutting Contribution Function for Loop Cutset Problem in Bayesian Network

نویسندگان

چکیده

The loop cutset solving algorithm in the Bayesian network is particularly important for inference. This paper proposes an approximate minimum based on loop-cutting contribution index. Compared with existing algorithms, uses index of nodes and node-pairs to analyze from a global perspective, select candidates node-pair as unit. parameter μ control range node-pairs, ω selection conditions so that can adjust parameters according size networks, which ensures computational efficiency. numerical experiments show calculation efficiency significantly improved when it consistent accuracy algorithm; also studied influence settings using trend analysis two-way variance. unit solve cutset, helps improve inference structure analysis.

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ژورنال

عنوان ژورنال: Mathematics

سال: 2021

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math9050462