摘要:朴素贝叶斯分类器是一种简单而高效的分类器,但它的条件独立性假设使其无法表示属性问的依赖关系。
Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features.
在非真实条件句中,表示与过去事实相反的假设。
If I had known the truth, I would not have said that to him.
在假设因果图中的连接事件表示必然因果关系条件下,因果图可以转换为含有可能的因果关系的故障树。
Supposing that connecting event in causality express necessary causality, causality diagram can be converted into fault tree including possible causality.
应用推荐