sample distribution
英 [ˈsɑːmpl ˌdɪstrɪˈbjuːʃn]
美 [ˈsæmpl ˌdɪstrɪˈbjuːʃn]
样品分布;样本分布;采样分布
英英释义
noun
- items selected at random from a population and used to test hypotheses about the population
双语例句
- The sample distribution of varied coefficient
变异系数的抽样分布 - 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 - 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。 - 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。 - 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。 - 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 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。 - 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 - 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。
