The results prove that TAN classifier has perfect classification capability and higher classification accuracy.
实验结果表明TAN分类器具有较好的分类性能和较高的分类精度。
TAN classifier extends the structure of Naive Bayes classifier by adding augmenting arcs that obey certain structural restrictions.
TAN分类器按照一定的结构限制，通过添加扩展弧的方式扩展朴素贝叶斯分类器的结构。
A new QBC method is presented by combining vote entropy and class conditional posterior maximum entropy for learning TAN classifier.
同时提出了基于投票熵与类条件后验最大熵相结合的QBC算法。
The reasoning process of evaluating university talented scholars system is presented, and introduce the application of TAN classifier in data mining.
用某高校人才识别系统这一实例来说明TAN分类器的推理过程，并介绍了TAN分类器在数据挖掘领域的应用。
TAN(tree augmented Nave Bayes) takes the Nave Bayes classifier and adds edges to it, it is efficient extend of Nave Bayes.
树扩展型朴素贝叶斯（TAN）分类器放松了朴素贝叶斯的属性独立性假设，是对朴素贝叶斯分类器的有效改进。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。
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