后验的

MCMC can be used to explore the posterior probability produced by the Bayesian learning method.

当使用Bayes方法学习Bayes网络模型的结构和参数时，使用MCMC方法对后验分布进行抽样研究是非常方便的，它不需要此概率分布是归一化的，而计算归一化常数往往是困难的。

Bayesian belief propagation algorithm was used to efficiently calculate the maximum of the posterior probability of background with input data.

在建立正确模型参数的基础上，贝叶斯信念传播算法根据图像输入预测当前背景状态的后验分布，并根据预测得到的背景状态对输入图像进行分割。

We can identify the cointegration rank of a model by posterior probability of cointegration rank; Thus Cointegration relation can be identified.

通过协整秩的后验概率识别模型的协整秩，从而对协整关系加以识别，实证表明这种方法的模型识别率还是相当高。

ALSAB adopts Maximum A Posteriori provability estimation and Expectation-Maximization algorithm to estimate the weight parameters of LSA,and ALSAB employs incremental learning to decrease accumulative effect caused in continuous update with considering that the probability of uncommon words decreases in continuous update.

ALSAB采用最大后验概率估计与期望值最大算法对概率LSA模型参数进行有效的估计，在充分考虑多次更新中不常用字词概率参数降低问题的前提下，采用增量学习方法降低多次更新产生的累积效应。

Based on Bellman stochastic nonlinear dynamic programming, we develop an optimal control algorithm for the discrete stochastic system with conditional Markov structure.

基于Bellman随机非线性动态规划法，提出了具有条件马尔科夫跳变结构的离散随机系统的最优控制方法，应用随机变结构系统的性质对最优控制算法进行了简化处理，并将后验概率密度函数用条件高斯函数来逼近，针对一类具有条件马尔科夫跳变结构的线性离散随机系统，给出了其逼近最优控制算法。

Thirdly, under the condition with noαpriori smoothness, in order to obtain the optimal convergence rates, it is not practical to use theαpriori rule. And it is necessary to use the a posteriori stopping rule which not only depends on the error boundδbut also on the perturbed data y~δ.

再次，在没有先验的光滑性信息情况下，为了获得最优收敛速率，利用先验选取准则则变得不再实用，而利用不仅依赖于误差界δ而且依赖于扰动数据y~δ的后验停止准则是必要的。

To lower power consumption in Turbo decoding , a new algorithm based on trellis combination was proposed.

针对Turbo 码译码器功耗大的问题，改进了传统的最大后验概率译码算法，提出了一种基于网格图合并思想的低功耗Turbo 码译码算法。

WT5,6BZBased on the characteristics of the laws of change in sports results, such as the uncertainness, indefiniteness and fuzziness, the gray model, GM1,1 of the Chinese and the world hurdles records was established by applying the gray model of the gray system theory. The after check difference examination and the relative degree were analyzed.

本文应用灰色模型方法，建立了跨栏跑世界纪录和全国纪录的灰色 GM(1，1)预测模型，为未来运动成绩的中长期预测和决策提供参考。1 研究方法运用奔腾— 5 0 0微型计算机建立男女跨栏项目世界纪录和全国纪录的灰色 GM(1，1)模型，并对预测模型进行了后验差检验和关联度分析。

This algorithm adopts the posterior estimation for on-line identification and adoptively adjusts the noise variance of above-mentioned two models, and uses the limiting weighting coefficiens for realise an adaptation of maneuverable target's motion mode with model set.

该算法采用后验估计的方法在线辩识及自适应调整上述两个模型的噪声方差，并且采用加权系数限定准则，实现机动目标运动模式与模型集合的自适应。

Some researchers have pointed out some weakness of the GLUE method, such as: indiscriminating acceptance of the simulation output of the model as its input, choosing the behavior parameters subjectively, excessively flat derivation posterior distribution and so on.

但是，由于方法存在理论上的缺陷，近来国内外研究者对GLUE方法提出一些质疑，如：对模拟结果不加选择、采用主观判断确定可行参数组的阈值、推导得出的后验概率分布过于平坦等。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。