| 释义 |
em algorithm
基本例句
EM算法
The EM algorithm iterates between the E-step and M-step until convergence.EM算法在E步骤和M步骤之间循环进行直到能够被收敛。
Based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.详细说明:基于有限高斯混合模型的EM算法的源程序代码,里面有实验报告和运行结果。
The maximum likelihood estimates of the model are computed with the EM algorithm.本文将其中一个扰动变量视为缺失数据，利用EM算法得到模型参数的极大似然估计。
Firstly, revise the wavelet coefficients of the images.Then, use the regularized EM algorithm to do restoration.该算法先对加权小波系数进行调整，再用调整EM算法进行迭代复原。
MLE is a common parameters estimation method and EM algorithm makes its application more extensive.而极大似然估计是一种常用的参数估计方法，EM算法使其应用更加广泛。 |