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。
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。
应用推荐