| Bayesian网的独立性推广模型 |
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| 引用本文： | 彭青松,张佑生,汪荣贵.Bayesian网的独立性推广模型[J].计算机科学,2005,32(2):182-184. |
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| 作者姓名： | 彭青松 张佑生 汪荣贵 |
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| 作者单位： | 合肥工业大学计算机信息学院,合肥,230009 |
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| 基金项目： | 安徽省自然科学基金(No.04-03042207) |
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| 摘 要： | 要本文提出了Bayesian同的独立性推广模型。Bayesian同能够表示变量之间概率影响关系与条件独立性，但不能表示因果独立性。虽然Noisy OR模型能够较好地表示变量之问的因果独立性，但该模型又因只能表示因果独立性而具有很大的局限性。本文提出的独立性推广模型解决了Bayesian同因果独立性表示能力不足的问题，扩展了Bayesian同与Noisy OR模型的表示范围，同时简化了Bayesian同的条件概率表，并且新模型更能够反映变量之间的概率影响关系。实验结果表明了该模型的实用性。
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| 关 键 词： | 表示 推广模型 变量 条件独立性 条件概率 简化 扩展 Bayesian网 地表 实用性 |
The Extension of the Bayesian Network Based on Independence |
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| PENG Qing-song,ZHANG You-sheng,WANG Rong-gui.The Extension of the Bayesian Network Based on Independence[J].Computer Science,2005,32(2):182-184. |
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| Authors: | PENG Qing-song ZHANG You-sheng WANG Rong-gui |
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| Affiliation: | PENG Qing-Song,ZHANG You-Sheng,WANG Rong-Gui Department of Computer Science and Technology,Hefei University of Technology,Hefei 230009 |
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| Abstract: | The Bayesian can express the conditionally independence conveniently,but in appliactions it can't handle causally independence easily. The Noisy OR model can express causally independence well,but the limitation of the Noisy OR model blocks the widely use of itself. In this paper,we present the extension of the Bayesian Network based on independence. Our new model generalizes the Bayesian Networks to handle causally independence properly,and simplifies the conditionally probability table. Experimental results show the availability of our new model. |
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| Keywords: | Bayesian networks Noisy OR model Conditionally independence Causally independence |
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