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- This paper uses the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes classifier. 本文利用改进的K-均值算法对缺失数据进行处理，提高了朴素贝叶斯分类的精确度。
- Naive Bayes classifier is a simple and effective classification method,but its attribute independence assumption makes it unable to express the dependence among attributes in the real world. 朴素贝叶斯分类器是一种简单而高效的分类器,但是其属性独立性假设限制了对实际数据的应用。
- Mixed Naive Bayes Classifier Model 混合式朴素贝叶斯分类模型
- tree augmented Naive Bayes classifier 树增广朴素贝叶斯分类
- mixed tree augmented naive bayes classifier 混合的树增广朴素贝叶斯分类
- To improve efficiency, used naive Bayes classify method to reduce the searching space. 基于效率考虑，利用朴素贝叶斯分类算法减小搜索空间。
- Automatic Recognition of Rat's Postures Based on Naive Bayes Classifier 基于朴素贝叶斯分类器的大鼠体态自动识别
- Keywords ethology;posture;naive Bayes classifier;invariants;probability density estimation; 关键词行为学;体态;朴素贝叶斯分类器;不变量;概率密度估计;
- Generalized naive bayes classifiers 广义朴素贝叶斯分类器
- naive Bayes classifier 朴素贝叶斯分类器
- Naive Bayes Classifier(NBC) 朴素贝叶斯分类器（NBC）
- 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(tree augmented naive bayes)文本分类器进行实验比较。
- For more information, see Microsoft Naive Bayes Algorithm. 有关详细信息,请参阅Microsoft Naive Bayes算法。
- A comparison of event models for Naive Bayes text classification. 如果在监督环境下,即文本的类别已知。
- Improving the Performance of Naive Bayes: A Hybrid Approach. 通过逼近改进朴素贝叶斯性能。
- The method based on Naive Bayes Model (NBM) is 92%, it’s a higher precision. 基于贝叶斯模型（NBM ）的有指导消歧的开放测试正确率最高可达92 %25 ，取得了比较好的效果。
- Naive Bayes Text Classifier Based on Word Clusters 基于单词簇的朴素贝叶斯文本分类器
- The Improvement of Naive Bayes Text Classifier 一种改进的贝叶斯文本分类模型
- Tree-Augmented Naive Bayes (TAN) Classifier 树增强朴素贝叶斯（TAN）分类器
- To train a Naive Bayes model based on the targeted mailing data in the AdventureWorksDW database. 并根据AdventureWorksDW数据库中的目标邮件数据来为Naive Bayes模型定型。
