Labeled-Data-Record 标记数据记录
multi-labeled data 多类标数据
small labeled data 小样本标记实例
labeled data stream 有标号的数据流
Cleaning up incorrectly labeled data 清除标注错误的数据
However, in practical applications such as computer aided diagnosis (CAD) of medical images, unlabeled data are readily available but labeled data are fairly expensive to obtain because they require human effort.
但在计算机辅助医学图像诊断等实际应用中,对数据进行人工标记的代价很高,容易获取的是大量无标记数据。
参考来源 - 基于“合作—参与”计算认知模型的半监督学习算法研究与应用This algorithm requires a small number of labeled data only and a large number of unlabeled data.
该算法使用少量的标签数据和大量未知标签数据生成IDS的分类器。
参考来源 - 基于进化半监督式模糊聚类算法的入侵检测·2,447,543篇论文数据,部分数据来源于NoteExpress
Read access rules are applied when a user attempts to read labeled data.
当用户试图读带安全标签的数据时,则应用读访问规则。
If you want to use some supervised learning algorithm, you need labeled data.
如果你想使用有监督的学习算法,你需要标记数据。
Similarly, each database user is assigned a security label that determines which labeled data rows or columns he or she can access.
类似地,每个数据库用户也都被赋予一个安全标签,这个标签将决定他/她可以访问哪些贴了标签的数据行或列。
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