贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is,

EM算法是在概率模型中寻找参数的最大拟然估计或最大后验估计的迭代算法-EM algorithm is looking for parameters in the probability model of maximum quasi likelihood estimation or maximum a posteriori estimate of the iterative algorithm

In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution.