Bayesian network parameter learning algorithm based on improved QMAP

Small data sets make the statistical information in Bayesian network parameter learning inaccurate, which makes it difficult to get accurate Bayesian network parameters based on data. Qualitative maximum a posteriori estimation (QMAP) is the most accurate algorithm for Bayesian network parameter lea...

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Hlavní autoři:	Di Ruohai, Li Ye, Wan Kaifang, Lyu Zhigang, Wang Peng
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	EDP Sciences 2021-12-01
Edice:	Xibei Gongye Daxue Xuebao
Témata:	bayesian network parameter learning qualitative maximum a posteriori estimation parameter constraints objective optimization
On-line přístup:	https://www.jnwpu.org/articles/jnwpu/full_html/2021/06/jnwpu2021396p1356/jnwpu2021396p1356.html
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