label data
英 [ˈleɪbl ˈdeɪtə]
美 [ˈleɪbl ˈdeɪtə]
标号数据
双语例句
- There is no label beside the data entry field, but it has a long description, so the title attribute should be set for this form.
数据输入字段旁没有标签，但有一段长描述，因此应当为此表单设置title属性。 - Instead of being limited to an arbitrary label ( such as data binding), look at what an API actually provides.
不要被那些随意的标签（如数据绑定）所蒙蔽，要看看API到底提供了什么。 - If the user's security label dominates the data's security label, access is granted.
如果用户的安全标签强于数据的安全标签，则可以访问。 - This function is used in insert and update operations to provide the row security label for a data row.
该函数在插入和更新操作中为一个数据行提供行安全标签。 - When a user tries to access labeled data, his LBAC credentials are compared to security label protecting data to see if access is allowed.
当一个用户试图访问带标签的数据时，要将他的LBAC凭证与保护数据的安全标签进行比较，以确定是否允许访问。 - By default, any label can read data labeled_.
默认情况下，任何标签都可以读取标记有的数据。 - Optionally, the semantic category name, or another label for the sensitive data, can be printed on top of the redacted areas.
或者，语义类别名称，或敏感数据的其他标签，可打印在敏感数据顶部。 - We define a new label host for host-private data which containers should not be able to access; we assign this to the cgroups filesystem in the container_setup.sh script.
我们为容器不能访问的主机的私有数据定义一个新标签host；并且将这个标签应用到containersetup.sh脚本中的cgroups文件系统。 - MPLS ( MultiProtocol Lable Switch) is a kind of network technology which makes use of length-fixed label to guide data switch and transmission on high speeed.
MPLS技术是一种在开放的通信网上利用定长标签引导数据高速传输和交换的网络技术。 - Decision tree is often applied for predicting the class label of data objects and regression model is usually applied in the course of linear problem.
决策树通常用于预测数据对象的类标识，而回归问题经常解决线性问题。 - Considering that the data features were expected to be more separable in kernel space, we first performed the K-means clustering in kernel space, then trained the sub-class data separately using OC-SVMs and established a multiple hyperspheres classification model to decide the class label of new data.
算法利用核空间中样本特征差异突出的特性，首先对样本在核空间进行K-均值聚类，然后使用OC-SVMs对各子类训练建立多超球面分类模型，实现分类判决。 - The matrix based on the normal, fault and new data is introduced to label the fault data.
讨论了三种数据规格化方案，提出了极差值是最简便的方案，引进了正常状态和故障状态时的样本数据，加入待检测数据对矩阵进行聚类分析，来检验待检测数据是否出现故障。 - The Art of Applying Label File and Data Statistical Commands of dBASE ⅲ
dBASEⅢ标签文件及数据统计命令应用技巧 - Classification is an important sub-branch of Data Mining, which aims to build the classifier used to predict the class label of new coming data.
分类（Classification）是数据挖掘领域的一个重要研究分支，分类首先要构造分类器，并对依据分类器对新数据进行类别预测。 - Since more efforts are required to label the multi-label training data, generally much data in training set is not labeled.
由于多标记学习中对训练数据的标记需要更多的人力和物力，因此数据集中的已标记样本数量一般较少。 - In the process of clustering solution search, the intensity of label data is dynamically adjusted. ( 2) By analyzing the effects of different pairwise constrained data in the clustering process, this paper presents a semi-supervised clustering algorithm with pairwise constrained data.
通过分析不同的约束对数据在半监督聚类中的作用，本文提出基于约束对数据的改进半监督聚类算法。 - However, as the origins of images and types of image formats become more and more diversity recently, it is not practical at all to label huge image data manually.
但是，随着近年来图像来源的不断丰富和格式的多样化，对庞大图像数据进行手工标注已经变得非常不现实。 - Then, we use the method of manual annotation to label the data set into three categories according to the sentiment polarity ( positive, neutral and negative).
然后，使用人工标注的方法根据情感极性把采集到的数据集标注成3类（正向，中立和负向）。 - Classification is to predict the class label of data with supervisor obtained from experiential data, which is a basic problem in data mining.
分类即通过由经验数据训练得到的分类器预测未知数据的归属，是一种最常见的数据挖掘任务。 - In the method, an improved 2-stage LDA/ QR method is used to construct local low-dimensional coordinates, which can not only utilize the label information of sample data, but can also conquer the singularity problem of traditional LDA.
使用改进的两阶段的LDA／QR算法构造局部低维坐标系，使用LDA／QR不仅可以利用样本数据的类别信息，而且可以解决传统LDA方法的奇异性问题。 - In order to improve work efficiency, an automated facility is urgently needed to find needed information rapidly; also people hope least label data can meet the actual need of research.
因此，为了提高工作效率，迫切地需要一些自动化的手段帮助他们在海量生物医学文献中迅速地找到需要的信息，而且人们更加希望使用尽可能少的已标注样本就能够有效地满足研究与实际需求。 - For this reason, a fuzzy support vector machine can be used in binary class double label data sets is designed.
为此本文设计了一种模糊支持向量机，能够对含有两类数据、样本可能具有两个标签的数据集进行分类。 - CRFs is a good undirected graph conditional probability model, mainly used to label and segment sequent data. CRFs model can get the global optimal label result using context features.
CRFs模型是目前比较优秀的无向图条件概率模型，主要用于标记和分割序列数据，可以利用上下文特征获得全局最优的标注结果。 - This paper emphasize to design Label Information Processing module. This module sets some filter rules and processing methods for the label data.
本文着重设计实现了标签信息处理模块，该模块设置了针对标签数据的过滤规则、处理手段。 - The first innovations of thesis is that through in-depth analysis on advantage of collaborative training algorithm co-training, in minimizing the amount of label data and guaranteeing the classification accuracy, the co-training algorithm based on maximum entropy ( Maxent) is used for audio classification.
本文的一个创新点是，通过深入分析协同训练算法co-training在极小化标注数据量并保证分类精度方面的优势，采用基于最大熵分类的co-training算法进行音频分类。 - In addition, methods proposed of audio classification and sentence segmentation require a great quantity of manual label data to train the model and test the results, which is expensive, time-consuming and laborious to prepare, largely increased the cost of system construction.
此外，已有的音频分类和句子切分技术都需要大量的人工标注数据来训练模型和测试分类结果，但人工标注费时费力，很大程度上增加了系统构建的成本。 - In this paper discriminative Bayesian networks learning from unbalanced data, attribute missing data and label missing data are researched.
本文从判别学习的角度，围绕实际问题中的分类代价不平衡数据、属性缺值数据以及类别缺值数据，研究了基于判别学习的贝叶斯网络的几种算法。 - In the clustering process, the principle of double adjustable strategy is the interaction selection between the label data and unlabeled data to improve the accuracy of the label propagation.
双向选择调整策略通过标注数据和未标注数据的相互选择，提高标签繁殖的准确率，并在聚类解搜索过程中，动态调整标注数据的作用强度。 - Although traditional semi-supervised classification algorithm can solve incomplete label data sets classification problem, but it is an unsolved problem that how to use it in data stream environment and how to improve semi-supervised classification algorithm accuracy by using data stream characters.
传统半监督分类算法虽然能够解决类标签不完整数据集的分类问题，但如何将其引入数据流环境，利用数据流特性提高半监督分类算法的分类准确率仍是一个有待解决的问题。 - Aiming at the needs of binding security label to data object in multi-level secure data transmission, a technology based on XML application layer security label is proposed.
针对多级安全数据传输中需要实现数据客体与安全标记绑定的问题，提出了基于XML应用层数据客体与安全标记绑定技术。