sample distribution
英 [ˈsɑːmpl ˌdɪstrɪˈbjuːʃn]
美 [ˈsæmpl ˌdɪstrɪˈbjuːʃn]
样品分布；样本分布；采样分布
英英释义
noun
- items selected at random from a population and used to test hypotheses about the population
双语例句
- 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 - 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。 - 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。 - 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。 - 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。 - 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。 - 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。 - 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。 - 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。 - 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。