The key to content-based text filtering consists in constructing an effective filtering profile.
基于内容的文本过滤关键在于建立有效的过滤模板。
Absrtact: The key to content - based text filtering consists in constructing an effective filtering profile.
摘要：基于内容的文本过滤关键在于建立有效的过滤模板。
An effective filtering profile can debase the request from the whole text filtering system to the machine learning mechanism and improve filtering efficiency of system.
一种高效的过滤模板可以降低整个文本过滤系统对机器学习机制的要求，提高系统的过滤效率。
To enable an emitter to use a filter factory profile, enter the JNDI name in the emitters FilterFactoryProfileJNDIName attribute as well configuring it to enabling filtering.
要让发射器使用filterfactoryprofile，在发射器FilterFactoryProfileJNDIName属性中输入JNDI名称，并配置为启用过滤功能。
Keeping the profile management helps people to connect in a much smarter way filtering the exact criteria and need.
保持概要管理可以帮助人员以更智能的方法进行连接，从而筛选出精确的标准和需求。
However, since we only have a single environment profile defined, filtering is not necessary, and our target profile, Dustin's profile, is the profile indicated in the environment profile field.
但是，因为我们只定义了一个环境概要文件，筛选是不必要的，我们的目标概要文件(Dustin ' sprofile)就是出现在Environment profile字段中的概要文件。
After analyzing the redundancy of profile data, a filtering algorithm is introduced.
通过对轮廓信息中冗余数据的分析，提出了一种冗余数据的滤除算法。
Taking the surface profile signal as an example, it analyzes the influence of outliers on the performance of Gaussian filtering with the help of the illustrations and evaluation parameters.
以表面轮廓信号为例，结合图形和参数评估，研究了异常信号对高斯滤波性能的影响。
Intelligent information recommending systems can kick out user-useless information using filtering algorithms and user's profile.
智能信息推荐系统能够通过用户偏好，利用信息过滤算法主动剔除无关信息。
The key to content based text filtering consists in constructing the semantic representation of users' profile.
基于内容的文本过滤关键在于建立语义层次上的用户模板。
The algorithm of zero-order Gaussian filtering for an open profile (GFO) was used to correct the edge of the filtered image.
并且利用零阶开环高斯滤波算法，对低通滤波图像的边缘进行了修正。
The representation of user profile is one of most important factors influencing the precision of information filtering.
信息过滤中用户兴趣模型的表示是影响过滤精确度的最重要的因素之一。
Based on user profile, topic template, which is created, assists user profile for information filtering. Users will get good results of filtering.
在用户模板的基础上，构建话题模板，辅助用户模板，进行信息过滤，使用户获得更好的过滤结果。
Machine learning in adaptive text filtering includes profile learning and threshold learning.
自适应文本过滤中的机器学习方法包括模板学习和阈值学习。
The paper puts emphics on the user profile in the background that the accident news is reported in the Internet and aims to filtering system.
本文以互联网上报道的突发事件新闻为背景，以提供个性化的信息过滤系统为目标，研究了特定领域的信息处理的关键技术即用户模型的表示。
The representation of user profile plays an important role in the information filtering, and decides whether filtering will be successful.
用户兴趣模型的表示是信息过滤中的关键技术，它直接关系到过滤效果的好坏。
The process of information filtering was analyzed. It includes defining user profile, accepting information inputting stream, calculating the value of use preference and adjusting user profile.
对信息筛选过程进行了分析，它包括定义用户偏好、接受信息输入流、计算其用户偏好值以及用户偏好修正。
This paper makes use of users'feedback information, and adopts an adaptive method to modify user profile actively in order to improve the precision of filtering system.
本文利用用户的反馈信息，采用改进的自适应学习的方法，及时的对用户模板进行修改，以提高系统过滤精度。
The processing result indicates the least square inverse filtering can produce an improved resistivity profile which resembles the "true"profile more closel…
结果表明，与传统的处理方法（包括三因子反滤波和趋肤效应提升）相比，该方法可大大地改进感应测井的精度。
The processing result indicates the least square inverse filtering can produce an improved resistivity profile which resembles the "true"profile more closel…
结果表明，与传统的处理方法（包括三因子反滤波和趋肤效应提升）相比，该方法可大大地改进感应测井的精度。
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