这种被称为人口测量学，因为他们是指整个人口可能的结果输出和测量概率，这是事实，但也有样本均值。
These are called population measures because they refer to the whole population of possible outcomes and they measure the probabilities. It's the truth, but there are also sample means.
用模糊综合评判方法与BAYES理论相结合，给出由小样本试验数据确定岩土参数的概率分布。
By combining BAYES theory with fuzzy comprehension evaluation method, this paper suggests a new method to determine the distribution of rock parameters.
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。
In the process, we calculate the posterior probability of semantics by unlabeled samples information.
该算法引入样本区域密度的概念，根据密度大小按不同的概率选取样本，以修正权矢量。
In this algorithm, sample region density is introduced. Weight vectors are updated under the condition of selecting samples with different probability according to their density.
论文分析了基于熵的离散化方法的不足，从估计训练样本的概率分布的角度出发，提出基于样本分布与熵相结合的处理数值型属性的方法。
By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
因此，适用于具有概率统计特征的数据采掘和知识发现问题，尤其是样本难以获取或代价过于昂贵的问题。
Therefore, it is the same with Data Mining with probability statistic character and knowledge discovery problems, especially with die problems that obtain sample information or need high cost.
因此，适用于具有概率统计特征的数据采掘和知识发现问题，尤其是样本难以获取或代价过于昂贵的问题。
Therefore , it is the same with data mining with probability statistic character and knowledge discovery problems , especially with die problems that obtain sample information or need high cost.
最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。
The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.
介绍了连续抽样中概率发生变化时保留样本的方法。
The method for retaining sampled units in successive sampling survey for changed probability of selection is introduced.
人们普遍认为要从理论上通过数学分析的方法来论证不连序系列样本概率权重矩的偏倚性是很困难的。
It is considered difficult to analytically prove whether sample probability weighted moments with discrete series are unbiased estimators.
针对序贯概率比检验（SPRT）无法控制抽取样本量等不足之处，提出了一种改进的抽样检验方法——序贯网图检验。
This paper proposed a new sampling plan, the sequential mesh test, in order to overcome the disadvantages of the widely used Sequential Probability Ratio Test (SPRT).
其基本思路是通过模糊概率把模糊数学理论和数理统计方法结合起来，从而可以由样本推断总体的等级隶属度。
The model combines fuzzy mathematics theory with statistical methods by using fuzzy probability. The model deduces the membership degrees of the general aggregate from the degrees of the sample.
在计算中，采用的数据直接来源于样本，减少了对已有数据和经典概率分布的依赖。
The data adopted in calculation directly source from the samples, and thus the reliance on the existing data and the classical probability distribution functions is reduced.
该模型还可以通过不断积累完善训练样本，自动修正网络结构参数和概率分布参数。
With the accumulated and improved training samples, it automatically modifies the parameters of network structure and probability distribution.
在密度统计过程中，把岩体结构面样本在空间上的概率密度分布假设成正态分布。
During the statistical process of density, the probability density distribution of the rock mass structural plane in sample space is assumed as normal distribution.
该方法采用DDPF估计机器人路径，采用DDF估计陆标位置，同时采用可选重采样以降低样本贫化的概率。
This method adopted DDPF to estimate the path of robot and DDF to estimate the landmark position. It also adopted selectable resample to lower the probability of sample deletion.
值就是当原假设为真时，比所得到的样本观察结果更极端的结果出现的概率。
The P-value is the probability of obtaining a result at least as extreme as the one that was actually observed, given that the null hypothesis is true.
以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。
SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 .
第四章主要是应用神经网络算法学习由数值计算得到的样本，实现了由夏比吸收能量值到断裂韧性值的在概率基础上的映射。
In the 4th chapter, the BP neural networks is used to study the sample data, thus realize the mapping from absorbing energy of Charpy Experiment to fracture toughness on the basis of probability.
此样本量确保样本具有代表性的概率是95%。
This sample size will ensure 95 percent probability that the sample is representative.
文中采用统计学理论，利用贝叶斯概率公式计算视频语义出现的概率，选取概率最大的类别标注未标记的样本。
In the paper, we use the statistical theory to calculate the probability of video semantics by Bayesian formula, choose the semantic of maximal probability to label the unlabeled samples.
以概率乘法公式为理论依据，根据训练样本的PC A结果对PNN进行结构优化，并引入学习算法减小pnn的参数不确定性。
A probability multiplication formula was used as the theoretical foundation. The PNN structure was optimized based on statistical results from the PCA for the training samples.
另一方面，随着覆盖半径的扩大所出现的一个测试样本属于多个覆盖的情况，使用概率的方法对其进行处理，并对处理的结果用投票的方式来决定样本的最后类别。
On the other hand, the paper USES a probabilistic way to handle the case that a sample belongs to more than one spherical neighborhood, and it votes the result to classify the sample.
利用最小二乘原理，推导出考虑样本容量和子样标准差的求解置信概率的函数，继而确定数据的置信区间，对数据进行筛选。
A new computational formula of fiducial probability in consideration of sample size and subsample standard deviation is derived from the least squares principle.
利用转移概率流图(TPFG)方法得到了发信号前的平均样本数，进而推导出了发信号前的平均时间。
Using the method of transition probability flow graphs (TPFG), the average sampling number to signal for these charts is given, and the average time to signal for these charts is deduced.
通过在覆盖中加入一定数量的异类样本和使用概率的方法来扩大覆盖半径，减少拒识的样本数，提高识别率。
The method of adding some samples of different class and enlarging the coverage radius was used to decrease the number of refused samples and improve the rates of recognition.
通过在覆盖中加入一定数量的异类样本和使用概率的方法来扩大覆盖半径，减少拒识的样本数，提高识别率。
The method of adding some samples of different class and enlarging the coverage radius was used to decrease the number of refused samples and improve the rates of recognition.
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