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。
The HMM parameters were estimated by the EM algorithm.
隐马尔可夫模型参数通过期望最大化算法(EM)来估计。
We further obtain and prove the condition of the correct convergence of the EM algorithm for Gaussian mixtures.
理论分析和数值实验结果表明，高斯混合密度的EM算法的正确收敛性与混合密度的重叠度密切相关。
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