naive Bayes的例句大全

Presently , naive Bayes algorithm for Email filtering has been accepted widely for its simplicity and plainness.

朴素Bayes邮件过滤算法由于简单、易于理解,已被人们广泛接受,并应用到一些商用邮件系统当中.

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.

Naive-Bayes model can integrate the prior information and the sample information.

简单贝叶斯模型能够很好地综合先验信息和样本信息.

Design of an Improved Mail Classification System Based on Naive Bayes Algorithm

基于朴素贝叶斯分类器邮件分类系统的改进

Improving Naive Bayes Classification Model in Various Methods

多种策略改进朴素贝叶斯分类器

Naive Bayes Chinese text classification based on core words of class

基于类别核心词的朴素贝叶斯中文文本分类

The Study of Naive Bayes Text Classification System Based on Artificial Intelligence

基于人工智能技术Naive Bayes文本自动分类系统研究

Weighted mixed naive bayes algorithm divides properties to independent subsets. Weighted TAN is used in subsets, naive bayes is used between these subsets.

加权混合贝叶斯算法把属性分为相互独立的属性子集，在属相子集之间使用加权朴素贝叶斯算法，属性集内部使用加权TAN算法。

Personalized Spam Filtering Based on Naive Bayes Algorithm

基于朴素贝叶斯算法的个性化垃圾邮件过滤

Using the Naive Bayes algorithm, the Apriori algorithm for the association analysis, and the OLAP ( online analytical) approach, vocational education system for the weak links in management decision-making is analyzed. At the same time some suggestions of improved algorithms are presented.

分别利用朴素贝叶斯算法、Apriori关联分析算法和OLAP（联机分析）方法，对职教系统目前管理决策的薄弱环节进行重点的分析，同时也提出了有关算法的改进建议。

Two mining algorithms are used, Decision Tree and Naive Bayes, to build the predictive model from a dataset provided by UCI Machine learning and repository for machine learning and intelligence system.

同时选择了两个数据挖掘算法，分别是决策树和朴素贝叶斯算法，利用机器学习和智能系统的UCI机器学习资源库提供的数据集建立预测模型。

Naive Bayes algorithm, based on class condition independent assumption, has simple and effective features.

其中朴素贝叶斯算法是基于类条件独立假设，具有简单且有效的特点。

Unknown Computer Virus Detection Based on Multi-naive Bayes Algorithm

基于多重朴素贝叶斯算法的未知病毒检测

This method computes the frequency numbers and point scores through the naive Bayes formula, then the dataset can be analyzed and classified visually by the constructed PSPC.

提出了一种多元数据的点得分平行坐标表示及可视化分析方法。