sample set
英 [ˈsɑːmpl set]
美 [ˈsæmpl set]
网络 样品组; 样本集; 样本群
双语例句
- A sample set of24 Chinese modern rice varieties derived from Aizizhan was selected to detect the genetic variation by using morphological traits, allozyme and SSR markers.
选取我国水稻矮仔占衍生品种24份，应用形态学、等位酶和微卫星（SSR）标记，分析矮仔占衍生品种的遗传差异。 - For the classification problem, it can be divided into binary class and multi class classification problems based on the number of different classes in the sample set or divided into single label and multi label classification problems by the number of labels on samples.
对于分类问题，按样本集合中总的类别个数可分为两类分类问题和多类分类问题：按样本所拥有的标签数可分为单标签分类问题和多标签分类问题。 - Clustering analysis is a kind of multivariate statistical method of sample classification and data analysis method without training sample set.
聚类分析是研究在没有训练样本集的情况下对样品进行分类的多元统计和数据分析方法。 - The relationship model for failure modes and functions and the definition for equivalence set of fault modes were created, and on this basis, the function cover's adequacy measurement and criterion for the sample set were proposed.
建立了故障模式与功能关系模型和故障模式等价集合定义，在此基础上提出了样本集的功能覆盖充分性度量和准则。 - The testing contexts contain effectiveness testing, functionality testing and sample set testing.
接着，本文对行为捕获系统进行了测试，测试内容包括有效性测试、功能性测试和样本集测试。 - And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machine self-learning.
然后根据对多维数据聚类的实验分析结果，通过对样本集的训练进行标识和机器自学习过程来判别异常检测矩阵。 - Well, let me come up with a sample set of elements here and let me go ahead and just get some fresh white board space.
下面我用一个元素的样本集来说明，我先找一些可用的白板空间。 - The following questions resemble a sample set.
以下问题类似于一个样本集。 - Describes how to construct the initial sample set and a new distance-based variety of the selection method and on this based on a variety of the SVM-based music retrieval model for intelligent Internet.
主要介绍了如何构造初始样本集和一种新的基于距离的多样本选择方法，并在此基础上建立了基于多样本SVM的互联网智能音乐检索模型。 - In our method, training sample set are divided into several non-overlapping subsets by clustering.
在该方法中，训练样本被聚类划分为不同的子集进行训练，得到多个分类器。