Stump Network text classifier is compared with naive bayes text classifier and TAN ( tree augmented naive bayes ) by an experiment. 将该方法与朴素贝叶斯文本分类器和TAN(treeaugmentednaiveBayes)文本分类器进行实验比较。
Using Tree Augmented Naive(TAN) Bayes ( Tan ) this thesis proposed an ensemble classification algorithm with Bayes ( ECB ). 本文利用树增广朴素贝叶斯网络分类器,提出了一种基于贝叶斯的集成分类算法。
On the basis of the study of naive Bayes classifier s ( NBC ), a new method & tree augmented naive Bayes classifier is proposed and applied to texture classification. 提出了一种松弛方法,允许类别节点下的相邻子节点之间存在相关关系(有向边),这种方法称为树增强型简单贝叶斯分类器(treeaugmentednaiveBayesclassifier,TAN)。