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

• 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 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
• 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。
• 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
• 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。
• 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。
• 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。
• 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。