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

• Linearized sample cumulative distribution frequency
  线性化样本累积分布频数
• 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。
• 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
• The Digital Characters of the p norm sample Distribution
  p-范分布母体抽样分布的数字特征
• 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。
• 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。
• 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。
• 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。
• 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。