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 achieve the classification decision-making methods. The smallest error rate of Bayesian decision-making: According to the largest posterior probability of a thing as a classification based on the decision-making