naive Bayes

However, for this article, I'll show only the Naive Bayes approach, because it demonstrates the overall problem and inputs in Mahout.

但在本文中，我只会演示Naive Bayes方法，因为这能让您看到总体问题和Mahout中的输入。

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 design effective software defect prediction model, this paper proposes an approach combining Particle Swarm Optimization ( PSO) algorithm and Naive Bayes ( NB).

为了设计高效的软件缺陷预测模型，提出一种将粒子群优化算法与朴素贝叶斯（NB）相结合的方法。

This study conducted an exploring research on sentiment analysis model by four algorithms, including the Point-wise Mutual Information method and three popular supervised machine learning algorithms: Support Vector Machine, Naive Bayes and N-gram method.

在此基础上，通过实验建立了四种情感分类器模型，包括基于逐点语义分析法的分类器和基于支持向量机、朴素贝叶斯、N元文法三种典型机器学习算法的分类器。

We first analysis the characteristic of HTML documents, then discuss the key technique of automatic text classification, including Vector Space Model, Chinese word segmentation, text feature selection, and implement a multinomial NaiVe Bayes classifier to classify Chinese Web page.

本文首先分析了Web页面的组织特点，对文本自动分类中使用到的向量空间模型、分词、特征选择等关键技术进行了深入的探讨，并实现了一个多项式朴素贝叶斯分类器对中文网页进行分类。

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

For naive bayes is a stable approach, in order to fit for ensemble learning, to destroy its stable with random Oracle approach and use entropy diversity to measure the diversity of naive bayes ensemble.

由于朴素贝叶斯是一种稳定的学习方法，为了应用集成学习，通过随机Oracle方法破坏其稳定性，利用熵差异性度量研究了朴素贝叶斯集成的差异性。

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.

Based on the attributes' importance degree theory of rough set, a new weighted naive Bayes method is proposed. Methods for determining the weights of attributes in the algebra view, informational view and both of them are developed respectively.

基于Rough Set的属性重要性理论，提出了基于Rough Set的加权朴素贝叶斯分类方法，并分别从代数观、信息观及综合代数观和信息观的角度给出了属性权值的求解方法。

Firstly this paper introduces several classification methods such as the Support Vector Method, Decision Tree and Naive Bayes Theory, and proposed using Support Vector Method ( SVM) to classify the face expression.

表情分类器训练，本文首先介绍了支持向量法、最近邻法、决策树、朴素贝叶斯等几种分类方法的分类原理，并提出了利用支持向量（SVM）的方法对人脸表情进行分类。

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

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

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。

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。

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。

Research on application of word correlation in Naive Bayes text classification

词间相关性在贝叶斯文本分类中的应用研究

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。

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。

Naive Bayes Ensemble Algorithm Based on Oracle Selection

基于Oracle选择的朴素贝叶斯集成算法

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。

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.

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。

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

Considering easily implement and fast calculation, the K nearest neighbor classifier and Naive Bayes classifi-er are utilized with a high classification accuracy.

出于算法实现简单、计算速度快等方面的考虑，本文选择K最近邻分类器与朴素贝叶斯分类器应用于实验数据，并获得了较高的分类准确率。

The performance of the N-gram model classifier was compared with that of the traditional models ( Vector Space Model and Naive Bayes Model). Experiment result shows that the accuracy and the stability of the N-gram model classifier are better than others.

通过N元语言模型与传统分类模型（向量空间模型和Naive Bayes模型）的实验对比，结果表明：N元模型分类器具有更好的分类性能。

Improving Naive Bayes Classification Model in Various Methods

多种策略改进朴素贝叶斯分类器

Weighted Naive Bayes Classification Algorithm Based on Rough Set

基于Rough Set的加权朴素贝叶斯分类算法

Compared with the logistic regression model, it suggested that the naive Bayes model showed an obvious advantage in resolution.

通过与Logistic回归模型的对比，表明朴素贝叶斯模型在分辨度方面存在明显优势。