后验的

Combined with product's field small sampling test and the accelerate factor's prior distribution,the factor's posterior distribution is presented based on Bayesian method.

并利用Bayes方法，结合额定应力环境下的小子样数据和加速因子的先验分布，推导出加速因子后验分布。

So, if know semiotic condition of the patient, what can be based on card of M* plan cipher out to await concealed variable is posterior probability distribution, reach thereby differentiate card result.

所以，假如知道病人的症状情况，就可以基于M*计算出证候隐变量的后验概率分布，从而得出辨证结果。

Based on the data of posterior probability, we use the finite mixture modes to model the data.

2根据利用高斯混合判别分析得到的影像的后验概率，利用有限混合模型对数据进行建模。

Then, the optimized weights are determined by the posterior probability of these samples.

最后，波束成形器的最优权值由这些样点的后验概率加权获取。

In this paper we specify the posterior probability to be Gaussian mixtures and using a standard EM algorithm to fit the corresponding parameters of the mode.

在试验中假设影像的后验概率符合混合高斯分布，并利用EM算法化解模型中的参数。

Thefirst algorithm considers that the process of synthesizing novel views can be regularized toa maximum posterior probability problem.

基于图像学习的方法将生成中间视图表达为一个最大后验概率的问题。

In chapter three, because of need data packet in the process of parameter estimation, but M-step involved the posterior probability calculate, it increases the computing complexity and affects the efficiency of the algorithm.

在第三章中，由于用EM算法在混合模型参数估计中涉及到运用后验概率密度实现数据分组，加大了计算的复杂度，影响了算法的效率。

Its aim is to improve the generalization ability of networks, and it trains a network with the purpose of obtaining the weights corresponding with the maximum posterior probability.

该算法是一种新型前馈神经网络训练算法，它以提高网络的泛化性能为主旨，其训练目标在于获取对应于后验分布最大值的权值向量。

The linguistic knowledge of Putonghua pronunciation was effectively introduced into the calculation of HMM based log posterior probability.

新算法在隐马尔科夫模型的对数后验概率算法基础上，引入普通话发音的语言学知识。

Bayesian method is used to calculate the posterior probability density function of the parameters for the model, and then Monte Carlo method is used to sample the model for getting the estimated values of the parameters.

采用贝叶斯方法计算出模型参数的后验概率密度函数，通过蒙特卡罗方法时其进行采样来获得参数的佑计值。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。