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
- 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 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。 - 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。 - 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。 - 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。 - 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。 - 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。 - 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。