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

• 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
• 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。
• 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。
• 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
• About Sample Distribution of X2, T, F Statistic
  关于X~2，T，F统计量的抽样分布
• 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。
• 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。
• 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。
• 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。