On feature selection, document frequency was combined with mutual information, and performance was improved.
特征选择的方法上，结合了文档频数和互信息量，并对他们进行了改进。
However, because the method of DF only USES document frequency to scale the distinguish capacity, we find it has two disadvantages.
但是通过分析我们发现，由于仅仅使用文档频率来衡量特征的区分能力，文档频率方法存在两个问题。
Still, the mathematical models used to rank results are usually some variation of the common term-frequency/inversed document frequency model, which is well-mapped territory.
尽管如此，用于排序结果的数学模型通常是常用的词频/倒排文档频率模型的变体，而对于这种模型，已有很好的研究基础。
The comprehensive method firstly used the new document frequency to select features to filter out some terms, and then employed the attribute reduction algorithm to eliminate redundancy.
该方法首先利用新型文档频进行特征初选以过滤掉一些词条，然后利用所提属性约简算法消除冗余。
To overcome the shortage of information gain in text categorization, this paper proposes a method of feature reduction based on the relative document frequency balance information gain (RDFBIG).
针对文本分类中信息增益降维方法的不足，提出了一种基于相对文档频的平衡信息增益(RDFBIG)降维方法。
This is similar to what is described in "Maximize the frequency of your lookups," and it prevents the keyword drop-down list from performing the lookup if the document is in read mode.
这与“使查找频率最小化”中描述的内容相似，并且在文档处于读模式时它可防止关键字下拉列表执行查找。
Other cache objects have configurable update Settings, and their update frequency is set by the Document Manager administrator.
其他缓存对象具有可配置的更新设置，它们的更新频率由DocumentManager管理员设置。
The create index command establishes the text index infrastructure by defining the text index attributes, such as update frequency, a document format, an index directory, and so on.
createindex命令定义文本索引属性，比如更新频率、文档格式、索引目录等等，从而建立文本索引基础设施。
An indexing engine, which is responsible to statistically analyze the plain text (derived from the binary document) and compute a list of tokens, sorted by frequency.
索引引擎，它负责在统计层面上分析纯文本(由二进制文档派生而来)，然后计算令牌的列表，按使用频率排序。
rank: A value that specifies the position of the document in the results, based on the frequency of the searched words.
rank：基于搜索词的频率指定结果中文档的值。
The paper extracts the text features based on a method of word co-occurrence frequency, which is related to the semantics of document.
本文基于词的同现频率的方法对文本的特征进行提取，涉及了文档的语义。
On the basis of the frequency one article is quoted, we propose the concept importance of document and apply it to the ordering of retrieval results based on content.
本文应用一篇文章的被引用信息提出了文献的“重要性”的概念，并将它应用到基于内容的检索结果的排序中。
In order to solve the greatly dimension of word frequency and sparse matrix, this paper proposes a multi-document summarization method based on sub-topics area partition.
为解决词频矩阵的词频维数过大和矩阵过于稀疏的问题，提出一种子主题区域划分的多文档自动文摘方法。
In order to solve the greatly dimension of word frequency and sparse matrix, this paper proposes a multi-document summarization method based on sub-topics area partition.
为解决词频矩阵的词频维数过大和矩阵过于稀疏的问题，提出一种子主题区域划分的多文档自动文摘方法。
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