查询词典 posterior

After building the model a test face image may be detected by Bayesian posterior probability.

在构建好学习模型后，用贝叶斯后验概率检测未知样本。

The posterior probability, p, for which the process under investigation is capable, is derived.

因此，在本博士论文中，我们首先将利用贝氏方法针对指标Cpk在没有对制程平均数做任何限制下建构出一个评估的准则。

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。

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。

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。

The emphasis of this paper is as follows: Firstly, an improved AR model and Bayesian posterior probability based clustering method is proposed and the principle and way of how to use this method for clustering time course gene expression data are elaborated.

本论文重点是：建立了一种改进的基于自回归模型和贝叶斯后验概率的动态聚类分析算法，阐述了应用该算法进行时序基因表达数据聚类分析的原理和方法；建立了一种基于自回归模型的模糊动态聚类分析算法，阐述了应用该算法进行时序基因表达数据聚类分析的原理和方法。

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。

Then the evaluation results of the water quality of an example showed that the posterior probability of factors are over 90% and have a significant impact on the identification and classification.

应用逐步判别分析法对水质进行评价因子筛选，通过对水质实际监测因子的假设检验分析，引入判别能力好的因子，建立判别方程。

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。

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。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。