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
- 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。 - 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。 - The sample distribution of varied coefficient
变异系数的抽样分布 - About Sample Distribution of X2, T, F Statistic
关于X~2，T，F统计量的抽样分布 - 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。 - 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。 - 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 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。 - 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。