贝叶斯决策理论：根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策：根据一个事物后验概率最大作为分类依据的决策 -Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a

贝叶斯分类器的算法解析，以及用c#写的关于文本文档的贝叶斯算法设计-Bayesian classifier algorithm analysis, and use c# to write the text of the document on Bayesian Algorithm