A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。
In this article, we introduce a new heuristic based on the importance of attribute contributing to the classification.
文中提出了一种新的启发式算法，它是基于属性对于分类的重要程度的。
This paper elaborates on classification, purpose and the definition of heuristic teaching and emphasizes the importance of elicitation method in classroom teaching.
阐述对启发式教学的定义、目的、分类，强调启发式教学在课堂教学中的重要性。
A new operator is used for introducing the heuristic information so as to maintain the ability of classification of the attributes set.
通过构造一个新的算子来引入启发式信息，使得选择的属性子集的分类能力不变。
This paper elaborates on classification, purpose and the definition of heuristic teaching and emphasizes the importance of elicitation method in classroom teaching.
本文主要强调启发式和以翻译过程为导向的教学法。
This paper elaborates on classification, purpose and the definition of heuristic teaching and emphasizes the importance of elicitation method in classroom teaching.
本文主要强调启发式和以翻译过程为导向的教学法。
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