用客户机信息标记数据库连接。
通过利用CSS，您还可以减少页面中的标记数。
You also may have reduced the number of tags on a page by leveraging CSS.
第五部分归纳有标记数量结构的特征。
In the fifth part, it summarizes the characteristics of marked numeral-classifier structure.
标记数组中包含的字符串列表视图应该显示。
The tags array contains a list of strings that the view should display.
正如你所看到的自述文件有一个部分标记数组。
As you can see by the Readme there's one section on to paginate Arrays.
如果你想使用有监督的学习算法，你需要标记数据。
If you want to use some supervised learning algorithm, you need labeled data.
要在这里利用标记特性，您需要用客户机信息来标记数据库连接。
To leverage the tagging feature here, you will need to tag the database connection with client information.
首先，它要求我们标记数据，以便随后我们可以确定数据的日期。
First, it requires us to mark the data so that we can later determine how old it is.
它通过鉴定模式和流媒体模式来识别数千小时的归档和未标记数据。
It works in both forensic mode to identify activities in thousands of hours of archived, untagged data and in streaming mode.
将从文档中返回一个名为name的标记数组(或NodeList)。
Will return an array (or a NodeList) of tags called name from within the document.
半监督学习算法同时考虑有标记和无标记数据，能显著提升学习效果。
Semi-supervised learning algorithms, which consider both labeled and unlabeled data, can improve learning effectiveness significantly.
基于XML的数据库系统以XML标记数据，解决了数据间的复杂关系。
In database system based on XML, use XML to mark data, so the complex relationship of data was solved.
XML表示有效数据的同时，引入了大量的重复的半结构性元素标记数据。
XML introduces a large number of repeated semi-structure element tag data at the same time of representing valid data.
至此，已经有了一个标记数据库和一个包含英文字符串和翻译后的字符串的词汇表。
Now, you have a tag database and a glossary that contains the English strings and the translated strings.
也应该了解MathML 3.0很快将为在XML中标记数学表达式带来的所有优势。
You should also understand all of the advantages that MathML 3.0 will soon bring for marking up mathematics in XML.
分别依据古银杏叶片样品的RAPD和ISSR标记数据，进行了群体和单株聚类分析。
According to the data of RAPD and ISSR molecular markers of the leaf samples, UPGMA cluster was made at population level and individual level.
而基于OCSVM的入侵检测不需要任何标记数据，并且能够从未标记的数据集中发现异常。
However, OCSVM-based intrusion detection approaches do not need any labeled data set, and attempt to find anomaly buried in the data.
整个安全架构由一个安全网关和一个操作系统库组成，Web应用可使用该操作系统库标记数据。
The security architecture is made of a security gateway and an operating system library which tags data as it is being used by the web application.
血液测试，建立与其他草案品种比较，并根据基因标记数据，膏草案马内形成一个独特的群体。
Blood testing has established that, compare with other draft breeds and based upon gene marker data, the Creams form a distinct group within the draft horses.
LotusDominoGlobalWorkbench之后使用标记数据库生成语言应用程序。
Lotus Domino Global Workbench USES the tag database to generate the language application later.
在获得标记数组时，这个类将标题和AppleScript命令装载到_ commands成员变量中。
When it has the tags as an array, the class loads the _commands member variable with the titles and AppleScript commands.
无标记数据:由于在读取数据时有模式定义，这就大大减少了数据编辑所需的类型信息，从而减少序列化空间。
Untagged data: Since the schema is present when data is read, considerably less type information need be encoded with data, resulting in smaller serialization size.
老师也会给孩子们指出写作在教室里的各种用途，比如标记数学中图表，给来访者写感谢条或者记录科学活动的结果。
They'll also work to point out writing's many classroom USES, among them labeling a graph in math, composing a thank-you note to a class visitor, or recording the results of a science project.
是使用共显性标记数据推断亲缘关系的软件。用来计算等位基因频率，确定概率比临界值并分析动物和植物种群亲缘关系。
Cervus represents an easy-to-use and practical tool for scientists seeking to establish parent-offspring relationships even when some genotypes are incomplete, incorrect or missing.
该方法通过几个分类器间协同学习，选出标记可信度比较高的无标记数据，再利用这些数据对已有的分类器作进一步的改进。
This method utilizing co-learning among several classifiers, selects the unlabeled samples which have high confidence, and then refines each classifier with these samples.
制作数学词汇墙或者将数学词汇（如三角形、圆形）融入已有的词汇墙中——用彩色标记数学词汇使它们更容易被儿童注意到。
Create a math word wall or incorporate mathematical words into the existing word wall—color-code the math words to make it easier for children to notice them.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
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