نتائج البحث

Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study.

• Authors : Ding, Huitong^1,2,3 (AUTHOR); An, Ning^1,2 (AUTHOR); Au, Rhoda^3,4,5,6 (AUTHOR)

• Source: Journal of Medical Internet Research. Apr2020, Vol. 22 Issue 4, p1-N.PAG. 14p.

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基于高斯密度的一阶贝叶斯衍生分类器.

• Authors : 杜瑞杰¹ ; 王双成^1,2; 高瑞²

• Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Nov2015, Vol. 32 Issue 11, p3242-3246. 5p.

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Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network.

• Authors : Wu, Jiansong¹ b.edu.cn; Hu, Zhuqiang¹; Chen, Jinyue¹

Subjects: *SUBWAY stations; *FIRE; *RISK assessment

• Source: Sustainability (2071-1050). Oct2018, Vol. 10 Issue 10, p3810. 1p.

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Dynamic Process Accident Analysis: Comparison of Bow tie and Bayesian Network Models ; تحليل پويا حوادث صنايع فرآيندي: مقايسه مدل پاپيوني و شبکه بيزين

• Authors : Zarei, Esmaeel; Mohammadfam, Iraj; Azadeh, Mohamadali

Subjects: Dynamic; Accident; Analysis

• Source: ارتقای ایمنی و پیشگیری از مصدومیت ها; دوره 5 شماره 4 (2017); 212 - 201 ; Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention); Vol. 5 No. 4

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Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network

• Authors : Jiansong Wu; Zhuqiang Hu; Jinyue Chen

Subjects: urbanization and sustainability; subway station fire; dynamic risk assessmentagris

• Source: Sustainability; Volume 10; Issue 10; Pages: 3810

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Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network

• Authors : Chen Jinyue; Hu Zhuqiang; Li Zheng

Subjects: Computer science; Process (engineering); Fire propagation

• Source: Sustainability, Vol 10, Iss 10, p 3810 (2018)SustainabilityVolume 10Issue 10

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Probabilistic Graphical Model Structure Learning : Application to Multi-Label Classification ; Apprentissage de Structure de Modèles Graphiques Probabilistes : application à la Classification Multi-Label

• Authors : Gasse, Maxime;

Subjects: Probabilistic graphical model; Bayesian network; Structure learning

• Source: https://hal.science/tel-01442613 ; Other [cs.OH]. Université de Lyon, 2017. English. ⟨NNT : 2017LYSE1003⟩.

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