Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever

机译：贝叶斯网络中的证据建模模式：经典猪瘟的案例研究

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Upon engineering a Bayesian network for the early detection of Classical Swine Fever in pigs, we found that the commonly used approach of separately modelling the relevant observable variables would not suffice to arrive at satisfactory performance of the network: explicit modelling of combinations of observations was required to allow identifying and reasoning about patterns of evidence. In this paper, we outline a general approach to modelling relevant patterns of evidence in a Bayesian network. We demonstrate its application for our problem domain and show that it served to significantly improve our network's performance.

机译：通过对贝叶斯网络进行工程设计以早期发现猪中的经典猪瘟，我们发现对相关可观察变量进行单独建模的常用方法不足以达到令人满意的网络性能：需要对观察值组合进行显式建模以便识别和推理证据模式。在本文中，我们概述了一种在贝叶斯网络中建模相关证据模式的通用方法。我们演示了它在我们的问题域中的应用，并表明它可以显着提高我们网络的性能。

著录项

来源
《Computational intelligence for knowledge-based systems design》|2010年|p.675-684|共10页
会议地点 Dortmund(DE);Dortmund(DE)
作者
Linda C. van der Gaag; Janneke Bolt; Willie Loeffen; Armin Elbers;
展开▼
作者单位

Department of Information and Computing Sciences, Utrecht University,P.O. Box 80.089, 3508 TB Utrecht, The Netherlands;

Department of Information and Computing Sciences, Utrecht University,P.O. Box 80.089, 3508 TB Utrecht, The Netherlands;

Central Veterinary Institute, Wageningen UR,P.O. Box 65, 8200 AB Lelystad, The Netherlands;

Central Veterinary Institute, Wageningen UR,P.O. Box 65, 8200 AB Lelystad, The Netherlands;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词

相似文献

外文文献
中文文献
专利

1. Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model [J] . Beatriz Martínez-López, Tsviatko Alexandrov, Lina Mur, Geospatial Health . 2014,第2期

机译：使用贝叶斯模型评估保加利亚经典猪瘟发生的空间格局和危险因素，包括后院猪
2. Patterns of gene expression in swine macrophages infected with classical swine fever virus detected by microarray. [J] . Gladue DP, Zhu J, Holinka LG, Virus Research: An International Journal of Molecular and Cellular Virology . 2010,第1期

机译：用芯片检测经典猪瘟病毒感染的猪巨噬细胞中的基因表达模式。
3. Patterns of cellular gene expression in swine macrophages infected with highly virulent classical swine fever virus strain Brescia. [J] . Borca MV, Gudmundsdottir I, Fernandez-Sainz IJ, Virus Research: An International Journal of Molecular and Cellular Virology . 2008,第1a2期

机译：猪巨噬细胞中感染高毒力经典猪瘟病毒布雷西亚的细胞基因表达模式。
4. Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever [C] . Linda C. van der Gaag, Janneke Bolt, Willie Loeffen, International Conference on Information Processing and Management of Uncertainty . 2010

机译：贝叶斯网络建模模式模式：古典猪瘟的案例研究
5. Modeling the impacts of movement restriction in classical swine fever outbreak control in Indiana. [D] . Yadav, Shankar. 2016

机译：对印第安纳州经典猪瘟爆发控制中运动受限的影响进行建模。
6. Changing pattern of classical swine fever virus genogroup from classical 1.1 to emerging 2.2 in India [O] . Vinod Kumar Singh, Kaushal Kishor Rajak, Ravi Kumar, 2017

机译：印度经典猪瘟病毒基因组的模式从经典1.1转变为新兴2.2
7. Modelling Patterns of Evidence in Bayesian Networks: a Case-study in Classical Swine Fever [O] . Linda C. Van Der Gaag, Janneke Bolt, Willie Loeffen, 2014

机译：贝叶斯网络证据模型建模：古典猪瘟的个案研究
8. Analysis of molecular expression patterns and integration with other knowledgebases using probabilistic Bayesian network models [R] . Moler, E. J., Mian, I. S. 2000

机译：使用概率贝叶斯网络模型分析分子表达模式并与其他知识库集成

Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever

摘要

著录项

相似文献

相关主题

期刊订阅