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
- 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。 - 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。 - 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。 - 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 - 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。 - 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。 - 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 algorithm is applied on the computer cluster of the multi-node environment, using FCM to implement a algorithm to adjust the sample distribution, so that multiple classifiers can be trained simultaneously on multiple nodes.
该算法应用在多节点环境的计算机集群上，用FCM算法实现一种样本权重修正算法，使得多节点能够同时训练多个分类器。 - The sample distribution was accorded with Hardy Weinberg principle.
样本分布符合HardyWeinberg平衡。