Through the model analysis, the results show that the load forecasting model containing the Bayesian algorithm has more excellent learning ability for complex load characteristics and new sample data.

Secondly, the shape and structure parameters of the textile image are extracted as the feature vectors. Finally, the classification result is computed by the Bayesian formula.

先对织物图像的分类问题建立贝叶斯模型，再提取织物图像的形态结构参数作为特征向量，并计算出分类结果。

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We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.

我们采用了基于词熵的特征项提取方法，并且使用特征项单词出现频率来表示向量，推导出相应的贝叶斯计算公式。

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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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Bayesian algorithm, we want to help.

贝叶斯算法，希望对大家有帮助。

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Finally, the research current situation that the present domestic and international spam filters has been analyzed, including the Bayes algorithm based on statistical analysis that relatively prevails now, several kinds of spam of domain name, mail address black-and-white list way filter technology.

介绍了当前国内外垃圾邮件过滤的研究现状，对现在比较流行的基于统计分析的贝叶斯算法技术和基于IP地址、域名、邮件地址黑白名单方式的几种垃圾邮件过滤技术进行了分析。

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Research on Chinese name identification based on Bayes algorithm

基于贝叶斯算法的中国人名识别

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Superior Performance of Complex-Number Bayesian Algorithm for DOA High Resolution Estimation

DOA高分辨估计的两种贝叶斯算法的性能比较

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Then an improved weighted Bayesian method was proposed.

在此基础上，利用加权的方法提出了一种改进的贝叶斯算法。

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The traditional methods such as IMM and GPB deal badly with this kind of problem.

传统的方法如交互多模型、广义伪贝叶斯算法等解决该类型问题的效果并不理想。

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Improvement of Locally Weighted Naive Bayesian Algorithm based on Distance Measure

基于距离度量的局部加权朴素贝叶斯算法改进

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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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The hierarchical bayesian algorithm treated the numbers of radial function, model parameters, and noise parameters as random variables that need to be estimated in the RBF neural networks.

分层贝叶斯算法把RBF神经网络模型中的径向基函数个数、模型参数、以及噪声参数都视为随机变量需要进行估计。

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An improvement program of application of Bayesian algorithm to anti-spam

贝叶斯算法在反垃圾邮件应用中的改进方案

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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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Design of Mail Filter System Based on Arithmetic

基于最小风险贝叶斯算法的邮件过滤系统设计

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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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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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Spam: the thesis research the spam filtering algorithm based on Bayesian.

垃圾邮件处理：研究了基于贝叶斯算法的垃圾邮件过滤。

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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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Information Security Model Based on Improved Bayes Algorithm

基于改进贝叶斯算法的信息安全模型

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