中文说明：贝叶斯分类方法源于人类的日常生活，是最基础的一种分类方法。在数学上，它基于贝叶斯决策公式的计算来分类；在现实中，它基于人类对于分类的基本经验来完成分类。所谓分类的基本经验，就是远在使用机器来做模式识别之前，人类经常使用的“大概”概念，由人类加以总结之后形成了概率论的数学理论分支。
English Description：
Bayesian classification derived from the daily lives of human beings, is the most basic kind of classification. Mathematically, it is calculated based on the formula Bayesian decision to classify; in reality, it is a basic human experience to complete for classification based on classification. Classification of so-called basic experience is far before using the machine to do pattern recognition, human beings often use "probably" concept, after forming a human be summarized by the mathematical theory of probability theory branch.