后验

The result indicated that the degree of influence to the reliability of existing structure in the order high to low are resistant force decreasing, resistant force posterior distribution and live load.

计算结果表明，影响既有结构可靠度的三个主要因素中，其显著性程度按照由高到低的次序是：抗力衰减、抗力后验分布、活荷载取值。

It establishes the prior information, according to historical information or the design experiences and the posterior distribution of the parameters on the basis of sample data, by which we can do point estimation or interval estimation, predict the future trend.

首先，作为可靠性评估的基础性工作，本文提出了贝叶斯预测模型用于配网元件原始参数的评估，引入由历史资料或设计经验形成的先验信息，并结合样本数据形成被估参数的后验分布；在此基础上进行点估计或区间估计，就可以对未来的变化趋势做出预测。

The results demonstrate that SCEM-UA algorithm is well suited to infer the posterior distribution of Xinanjiang model parameters. The results of calibration and validation indicate that it is a feasible and effective for optimization and uncertainty assessment of Xinanjiang model parameters.

结果表明，该算法能很好地推出新安江模型参数的后验概率分布；率定和检验结果比较分析也表明，应用SCEM-UA算法对新安江模型进行优选和不确定评估是有效和可行的。

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。

In order to increase the detection speed, by using mixing particle sets to express the posterior probability distribution and adopting the Monte Carlo numerical methods to calculate the mixing weights, the fast fault detection algorithm is proposed based on the estimate window method.

为了提高故障检测的速度，采用混合粒子集表达后验概率分布，并由Monte Carlo数值方法优化得到各粒子集的加权值，据此提出了基于估计窗的快速故障检测算法。

The infinite-dimensional inference technique was available to precisely approximate the posterior distribution of the noise.

提出一新的非参数贝叶斯推理算法来辨识任意复杂的多模噪声分布，采用无穷维推理技术，能够较为精确地逼近噪声的后验分布。

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。

In the process, we calculate the posterior probability of semantics by unlabeled samples information.

在计算的过程中，使用了未标记样本的信息计算语义出现的后验概率。

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。

Results showed that 0.01g/mL extract of Oxalis corniculata L. had obvious antimicrobial effect on S. aureus, but all extract of Oxalis corniculata L has not any antimicrobial effect on E.

结果表明，0.01g/ml的提取物对摇床培养的金黄色葡萄球菌生长具有明显的抑制作用；但各种浓度的提取物对摇床培养的大肠杆菌生长均无抑制作用。

This will be totally different from Zaro's texture mod, it will be desaturated, dirty etc.

这会和Zaro的那个材质补丁有很大不同，这边是更多的不饱和色，整个都灰扑扑的。