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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

    • 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
    • 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。
    • 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。
    • 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 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。
    • 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。
    • 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。
    • 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。
    • 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。