贝叶斯

The ANNs models of the periodic defected ground structures and a novel combinatorial nonperiodic defected ground structures with the characteristic of double stop band have been developed in this paper. The structure sizes of DGS and the frequencies are defined as the input samples of ANNs, the parameters of transmission coefficient calculated by FDTD method are sampled and defined as the output samples. For the PDGS with biggish structure sizes the transmission coefficients have the tiny dither owing to abnormal disturbance and the training samples have been smoothed by the least square method and five-spot triple smoothing method.

本文采用神经网络对周期性缺陷接地结构和一种新型的具有双阻带特性的组合式非周期性缺陷接地结构进行分析建模，将其结构尺寸和频率作为输入样本，对FDTD法计算出的传输系数参数进行抽样并将抽样结果作为输出样本，然后采用贝叶斯正则化算法对神经网络进行训练。

Dynamical linear model includes state space model and system equation on the basis of stochastic chain ladder.

为了充分挖掘历史数据中隐藏的信息，贝叶斯估计理论被引入到随机模型的参数评估中。

The sample BRDF curves variating with the scatter angle under several incident angles are given, and some of the curves were selected and sent into the artificial neural network. The network was trained with the Bayesian regularizing method. The mapping relation model of BRDF with incident and scatter angles was obtained.

给出测量样品多个入射角度下的BRDF随散射角变化的曲线，从中选取部分曲线输入到神经网络，使用贝叶斯正则化方法训练网络，最终获取双向反射分布函数和入射角、散射角的映射关系模型。

Therefore, we can predict the unlabelled object classes with the classification model.

在众多的分类方法中，贝叶斯分类以其简单的结构和良好的性能而备受关注。

Monte Carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. When comes to Bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. Then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one. At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data.

蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法，它在用于解决贝叶斯分类时，首先根据已知的先验概率获得各个类标号未知类的条件概率分布，然后利用某种抽样器，分别得到满足这些条件分布的随机数据，最后统计这些随机数据，就可以得到各个类标号未知类的后验概率分布。

Another approach spammers use to fool Bayesian filters is to create less spammy emails.

滥发电邮的另一个办法是使用欺骗贝叶斯过滤创造较少spammy电子邮件。

Furthermore, the algorithm exhibits robuster in the situation that the object is partially occluded, rotated and shape distorted. A vision-based human motion recognition method is introduced in this paper. A modified shape context method named area-based shape context is used to describe the shape. Then continuous hidden markov models are built to model the human motions, and Bayesian criterion is used to classify them.

本文的行为识别算法是建立在对人体行为观测的基础上的，用一种改进的基于人体区域的形状上下文技术表示人体轮廓形状，通过对训练样本集进行学习，利用最佳状态数估计法建立连续隐马尔可夫模型之后，利用贝叶斯判别准则，实现了对人体行为如走、跑、双脚合拢跳跃、单脚跳跃和侧向跳跃五种行为的识别。

The following experiments are designed: No 1. Put forward rescaled range analysis and computed Hurst exponents of proteins. It shows the validity of ANN, Markov Chain, and Bayes Statistics.

本文设计了以下几类实验：实验一、提出运用R／S分析法，计算了蛋白质的Hurst指数，验证了神经网络、马尔科夫链、贝叶斯统计等方法用于蛋白质分析的有效性。

But when calculatiug Bayes factor the random constant will he derived in case of improper priors being used.

但在计算贝叶斯因子时，要用到不正常的无信息先验，这会产生带有随机性的常数因子。

Firstly, a recently emerged bivariate shrinkage rule is extended to a complex coefficient and its neighborhood, the corresponding nonlinear threshold functions are derived from the models using Bayesian estimation theory.

首先，用双变量收缩规则来描述复小波系数和它的邻居之间的依赖关系，相应的非线性阈值函数由贝叶斯理论的相关模型推导得到。

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。