em algorithm

基本解释

We describe the maximum likelihood parameter estimation problem and how the EM algorithm can be used for its solution.
描述最大似然参数估计问题，介绍如何用EM算法求解最大似然参数估计。
It is verified that the mixed EM algorithm can reduce computational costs evidently through its application to large data sets.
最后通过将算法应用于大的数据集，验证了该算法能减少计算强度。
Accordingly, based on EM algorithm, a new algorithm EM SFM for this model is presented, its linear convergence is proved, and its convergence rate is also analyzed.
随后，基于EM算法，提出了该模型的新算法EM SFM ，证明了该算法的线性收敛法，分析了它的收敛速度。