概率逻辑
障碍物
计算机科学
贝叶斯网络
领域(数学分析)
影响图
图表
专家启发
领域(数学)
比例(比率)
人工智能
机器学习
数学
统计
决策树
地理
数学分析
考古
数据库
纯数学
地图学
作者
Linda C. van der Gaag,Silja Renooij,Cilia Witteman,B.M.P. Aleman,Babs G. Taal
出处
期刊:Cornell University - arXiv
日期:2013-01-23
被引量:3
摘要
In building Bayesian belief networks, the elicitation of all probabilities required can be a major obstacle. We learned the extent of this often-cited observation in the construction of the probabilistic part of a complex influence diagram in the field of cancer treatment. Based upon our negative experiences with existing methods, we designed a new method for probability elicitation from domain experts. The method combines various ideas, among which are the ideas of transcribing probabilities and of using a scale with both numerical and verbal anchors for marking assessments. In the construction of the probabilistic part of our influence diagram, the method proved to allow for the elicitation of many probabilities in little time.
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