Explaining Inferences in Bayesian Networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall short because they do not exploit variable interactions and cannot account for compensations during inferences. This paper...
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Main Authors: | YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa |
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2008
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/1247 https://ink.library.smu.edu.sg/context/sis_research/article/2246/viewcontent/Explaining_Inferences_in_Bayesian_Networks__edited_.pdf |
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