The compiler understands the conditional attribute, so it can do a better job of verifying code when conditional attributes are applied.
编译器可以识别Conditional属性，当条件属性被应用时，编译器可以很好的完成工作。
Acquiring optimal relative reduction by descending approach to core of attribute from original set of conditional attribute and combining with operator.
以原始条件属性集为起点并结合算子，通过向属性核的递减式逼近，得到属性的最小相对约简。
At present basically significance of conditional attribute in the decisional table based on rough sets is evaluated through dependability of conditional attribute.
目前粗糙集决策表中条件属性的重要性基本上是用条件属性的依赖度进行评判的。
Naive Bayes algorithm is a simple and effective classification algorithm. However, its classification performance is affected by its conditional attribute independence assumption.
朴素贝叶斯算法是一种简单而高效的分类算法，但是它的条件独立性假设影响了其分类性能。
We enabled conditional tracing so we could use a global attribute to turn the console tracing on and off.
我们还启用了条件跟踪以便能够使用一个全局属性来启用和禁用控制台跟踪。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by conditional information quantity.
并举例说明，对于不一致决策表，其属性约简的代数表示不能用条件信息量来等价表示。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
To improve the efficiency of attribute reduction, a rapid reduction algorithm based on conditional information quantity is proposed.
为提高粗集约简的效率，提出了一种基于条件信息量的快速粗集约简算法。
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库，定义属性权重及缺省规则加权支持度概念，在此基础上给出一种缺省规则挖掘算法。
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库，定义属性权重及缺省规则加权支持度概念，在此基础上给出一种缺省规则挖掘算法。
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