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- locally weighted naive Bayes 局部加权朴素贝叶斯
- weighted naive Bayes 加权朴素贝叶斯
- 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。
- 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。
- To use a continuous column in a Microsoft Naive Bayes model, you must discretize the data in the column. 若要在Microsoft Naive Bayes模型中使用连续列,必须对列中的数据进行离散化处理。
- The following example adds a Naive Bayes mining model to the New Mailing mining structure. 以下示例将Naive Bayes挖掘模型添加到New Mailing挖掘结构中。
- The following example uses the Microsoft Naive Bayes algorithm to create a new mining model. 以下示例使用Microsoft Naive Bayes算法创建新的挖掘模型。
- This viewer displays mining models that are built with the Microsoft Naive Bayes algorithm. 该查看器显示使用Microsoft Naive Bayes算法生成的挖掘模型。
- The theory of local partial least square (LPLS) algorithm was described based on locally weighted regression algorithm(LWR). 报道了在局部加权(LWR)回归方法基础上,自主改进的更简单、实用的局部偏最小二乘回归(LPLS)的原理和方法。
- 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。
- In order to deal with software aging, a method based on robust locally weighted regression algorithm was presented to abstract aging trend from system resource usage. 该方法利用强局部加权回归算法对系统资源的损耗过程进行提取，得到软件老化的趋势估计，建立软件老化模型。
- Now there are many methods that has been applied to this field, such as SVM, KNN, Naive Bayes, Decision Tree, etc. 目前已经有许多方法应用到该领域。 如支持向量机方法(SVM)、K近邻方法(KNN)、朴素贝叶斯方法(Naive Bayes)、决策树方法(Decision Tree)等等。
- 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。
- 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。
- The Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build and that works well for predictive modeling. Microsoft Naive Bayes算法是一种可快速构建并适合进行预测性建模的分类算法。
- A new face representation algorithm is proposed,which fuses global facial features and local facial features based on global DCT and local weighted DCT. 文章针对人脸图像,基于DCT变换,提出了一种融合整体DCT变换和分块加权DCT变换提取人脸图像的整体特征系数和局部特征系数,用于人脸表征的新方法。
- For more information about how to use the Microsoft Naive Bayes Viewer, see Viewing a Mining Model with the Microsoft Naive Bayes Viewer. 有关如何使用Microsoft Naive Bayes查看器的详细信息,请参阅使用Microsoft Naive Bayes查看器查看挖掘模型。
