The first version of this example, located in the webapps/ dwi18n/ multdir/ directory of the sample code distribution, makes use of multiple sets of JSP pages. 示例的第一个版本位于示例代码发行包的webapps/dwi18n/multdir/目录中,它运用了多组JSP页面。
Balanced and imbalanced data sets classification based on sample projection distribution 基于样本投影分布的平衡不平衡数据集分类
Linearized sample cumulative distribution frequency 线性化样本累积分布频数
Interval Estimates and Hypothetical Test Metod of Parameter On Few Sample Uniform Distribution 小样本的均匀分布参数的区间估计和假设检验
The over-convergence and uniformity validations are introduced to verify correspondence between sample distribution and sensor information for timely resampling which highly saves computational resource and enhances localization efficiency. 同时在重采样过程中引入了过收敛检验与均匀性检验用于判断采样与感知信息的匹配程度,以适时进行重采样,节省了计算资源并提高了定位效率。
The Applying of Heteroscedastic Sample Sampling Distribution to the Test of the Guangxi White Pig Breeding 异方差样本的抽样分布在广西白猪育种试验中的应用
The sample distribution was accorded with Hardy Weinberg principle. 样本分布符合HardyWeinberg平衡。
Study on the Sample Plot Distribution and Abnormal Sample Plot Probe in Monitoring Area with Principal Components Analysis 主分量分析在监测区域样地分布及异常样地探测中的研究
The Digital Characters of the p norm sample Distribution p-范分布母体抽样分布的数字特征
In this paper, suppose that the sample distribution of AR ( p) sequence is an elliptical distribution, or the white noise of AR ( p) sequence is elliptical white noise. 本文中,设AR(p)序列的样本分布为椭球分布,AR(p)序列的噪声为椭球白噪声。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution. 均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
There were differences of range and percent between sample distribution and those of corresponding normal distribution for bust girth, waist girth, and hip girth. 胸围、腰围、臀围的分布范围和分布比例与正态分布存在差异。
About Sample Distribution of X2, T, F Statistic 关于X~2,T,F统计量的抽样分布
The result shows that, due to the effect of the parameters 'priori distribution, there is essential difference between the sample predictive distribution and its original statistical distribution, the former being the matrix t distribution and the latter matrix normal distribution. 研究结果表明:由于参数先验分布的作用,样本的预报分布与其原统计分布有着本质性的差异,前者为从矩阵正态分布,而后者为矩阵t分布。
By balancing the training samples, dynamically resetting initial weights and adaptively evaluating net scales, some shortcomings of the BP algorithm, such as low convergence speed and high dependency on initial sample distribution are overcome, and the algorithm has become more robust and generic. 通过平衡训练样本数量、动态重置初始权值、评定网络规模等措施,解决了BP算法收敛速度慢、受初始样本分布影响大等缺陷,提高了识别算法的稳健性和泛化能力。
The sample distribution of varied coefficient 变异系数的抽样分布
In all, the researches are small sample and distribution of a single region. It is lack of the comprehensive study with large scale and multi-centre. 总体上各项研究均为小样本、单一地区的散发研究,缺少多中心大样本的综合研究。
Incorporating the sample distribution information into the process of feature extraction is beneficial to promote the classification performance of features. 把样本分布信息融于特征提取过程将有助于提高特征的分类能力。
The work of estimating the tail dependence coefficient is simple, when the sample distribution is known and the observation data is enough, the banks can use the parametric model to estimate the coefficient. But in real world, these conditions always can not satisfy. 尾部相关系数的估算较为便利,当样本分布已知且样本数据量充足时,采用参数估计尾部相关系数是非常有效的。但在信用风险管理中,这些条件有时并不具备。
This dissertation present another view, sample is an abstraction of the real world, and its space distribution conforms to regular rules, so the covering model can be seen as an approximation of the sample space distribution. 本文从另外一个角度考虑,认为样本是对客观世界的抽象描述,它在空间中的分布具有一定的规律,覆盖则是某种程度上对样本空间分布的一种近似。
On the basis of image segmentation, pixels in bubble segmentation region were calibrated. At the meantime, concept of sample distribution statistics was introduced. Moreover, some statistical characteristics, such as the average size of bubbles, variance, skewness and abruptness were extracted. 在图像分割的基础上,对气泡分割区域像素进行标定,引入样本统计分布的概念,提取了气泡平均尺寸、方差、偏斜度及陡峭度等统计特征。
Flow fields and the sample particle distribution were calculated under different circumstances. 计算了不同情况下的流场分布和样本粒子分布。
We use the information provided by sample projection distribution and sample size to determine the ratio of two classes of penalty factors and then obtain a new separating hyperplane. 该算法根据样本投影分布和样本容量所提供的信息给出两类惩罚因子比例,从而得到一个新的分离超平面。
This algorithm is applied on the computer cluster of the multi-node environment, using FCM to implement a algorithm to adjust the sample distribution, so that multiple classifiers can be trained simultaneously on multiple nodes. 该算法应用在多节点环境的计算机集群上,用FCM算法实现一种样本权重修正算法,使得多节点能够同时训练多个分类器。
On the base of the situation in the sample distribution of feather space, it proposes object region extraction algorithm. Thirdly, achieve natural image object discernment system applying the Sparse Coding Theory. 在样本在特征空间分布情况分析基础上,提出对象区域提取算法。之后应用稀疏编码理论,实现自然图像对象识别系统。
At the same time, the representative pre-miRNAs are selected according to the pre-miRNA sample distribution as training samples. 同时,基于miRNA前体在样本空间中分布,选择有代表性的miRNA前体作为训练样本。
Compared experiments with the SPF algorithm showed that the sampling location of the algorithm is relatively fixed, the sample distribution is uniform and it can be achieved the requirement the particle diversity. 3. 通过与SPF算法进行对比实验发现,该算法的采样位置相对固定,样本分布均匀,可以实现粒子多样性的要求。