贝叶斯

The most commonly-used methods to infer phylogenies include parsimony, maximum likelihood, and MCMC-based Bayesian inference.

最常用的推断系统树的方法包括简约法、最大似然法和基于MCMC的贝叶斯推理。

The simulation results showed that the damage assessment models could improve the assessment accuracy and the algorithm is simple, perspicuity and apt realization.

仿真实例表明，基于贝叶斯网络的损伤评估模型能够提高损伤评估的准确度，而且推理简单，易于实现。

And it gives the point estimation of the parameters in the model.

利用贝叶斯统计原理，给出了污染系数的后验置信区间及模型参数估计。

So in the point estimation, the Bayesian estimation can have better precision.

第二，在进行区间估计的时候，贝叶斯学派可以说某个参数落入某个区间的概率，而这在经典学派是不允许的。

On the other hand, genetic algorithm is used for feature optimization to obtain more accurate rates. Compared to the conventional Bayes classifier, SVMs produce more accurate recognition rates on the Ponce texture database. The error rate of experiments is less than 10%.

用包含有25类单色自然纹理的图像库进行识别试验，结果表明，该方法的识别错误率小于10%，得到了比传统的贝叶斯等方法更高的识别率和更好的推广性。

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 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。

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。

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。

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。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。