它还可以消除与编译、类路径或属性相关的很多问题；这些问题可能会耗费大量的项目时间和资金。
It can also remove many issues that are related to compilation, classpath, or properties; these issues can cost a lot of project time and money.
我们可以从今天的市场中发现一系列被消除了有害属性的产品：无咖啡因的咖啡，无糖的奶油，无酒精的啤酒。
In today's market, we find a whole series of products deprived of their malignant properties: coffee without caffeine, cream without fat, beer without alcohol.
您可以单击该节点来查看它的属性，并更新属性数据来消除错误。
You can click on the node to look at its properties, and update the property data to get rid of the error.
因为XMLNamespaces 1.0不允许应用程序将缺省名称空间用作属性，所以我们必须明确地指定前缀来消除歧义。
Since XML Namespaces 1.0 does not allow application of the default namespace to attributes, we must explicitly specify the prefix to disambiguate.
虽然可以通过设置模式的属性阈值消除大量无关模式，但当面对一个大的数据库时，数据挖掘的最终结果依然很大。
Although large amounts of irrelevant patterns can be removed by setting a threshold as the pattern importance degree, final results are still very great when a huge database is faced.
该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。
This algorithm can resolve the interference among attributes with different data types, and decrease the size of BP neural network, and realize the parallel computation of attributes matching.
并且该算法改进了决策树创建叶节点的条件，从而决策树不会用尽所有的候选属性才停止构造，这就消除了没有原始数据造成的影响。
And the algorithm improves the ending condition of building decision tree which don't stop constructing from using all of the attributes. So it has no influence on original data.
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。
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.
改进后的聚类结果既消除了采样误差，又保持了云类样本的基本特征属性。
Therefore, the improved FCM clustering results can reduce the sampling errors and retain the main attributes of cloud classification samples.
澳大利亚队的，几乎消除了强大的意大利球队中在属性的世界杯已经加入了亚洲足球范围，但这并不被证明是问题。
The Australia team which nearly eliminated the powerful Italy team at the field of World Cup has joined the Asia football scopes, but this does not prove to be problem.
该算法的主要步骤分两步：1）分别采用阈值分割和灰度邻域属性法消除白噪声及孤点噪声；
The algorithm includes two major phases: 1)removing white noise and acnode noise by threshold segmentation and grayscale neighborhood property respectively;
该算法的主要步骤分两步：1）分别采用阈值分割和灰度邻域属性法消除白噪声及孤点噪声；
The algorithm includes two major phases: 1)removing white noise and acnode noise by threshold segmentation and grayscale neighborhood property respectively;
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