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sample distribution

英 [ˈsɑːmpl ˌdɪstrɪˈbjuːʃn]

美 [ˈsæmpl ˌdɪstrɪˈbjuːʃn]

样品分布;样本分布;采样分布

计算机经济

英英释义

noun

  • items selected at random from a population and used to test hypotheses about the population
      Synonym:samplesampling

    双语例句

    • The sample distribution of varied coefficient
      变异系数的抽样分布
    • 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。
    • 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。
    • 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
    • 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。
    • 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。
    • 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
    • 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。
    • 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。