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.

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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.

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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.

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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

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Improving Naive Bayes Classification Model in Various Methods

多种策略改进朴素贝叶斯分类器

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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

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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

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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。

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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

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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。

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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。

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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。

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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

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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。

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