首先，介绍了有限混合模型理论及应用EM算法求解极大似然估计。
Firstly, we introduce the theory of finite mixture model and EM algorithm for maximum likelihood estimation.
它使用有限的上下文统计建模技术，混合了多个顺序固定的上下文模型，预测输入序列中的下一个字符。
It USES a finite context statistical modeling technique that blends together several fixed-order context models to predict the next character in the input sequence.
建立了含有微气泡的平板边界层方程，并采用一种简单的混合长度模型和有限差分方法对该方程进行了数值计算。
The equations of the boundary layer containing microbubbles on the plate are established, then calculated employing a simple mixing length model and a finite difference method.
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