naive Bayes的例句大全

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

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。

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。

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。

Naive Bayes Ensemble Algorithm Based on Oracle Selection

基于Oracle选择的朴素贝叶斯集成算法

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。

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。

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。

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。

In order to decrease the attribute independence assumption which is made by Naive Bayesian, a new Bayesian model MBN ( Mixed Naive Bayes) is introduced.

为了降低朴素贝叶斯分类模型的独立性假设约束，提出一种混合式朴素贝叶斯分类模型（MBN：Mixed Naive Bayes）。

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。

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。

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。

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。

The Bayesian classification was systematically studied, first some of the relevant knowledge of probability theory was introduced, and the Bayes theorem was described, and then Bayesian classification algorithms, Bayesian networks, and weighted naive Bayesian classification were introduced. 3.

系统地研究贝叶斯分类，首先介绍相关概率论的一些知识，描述贝叶斯定理，然后介绍朴素贝叶斯分类算法、贝叶斯网络以及加权朴素贝叶斯分类。

a junkmail filter is designed and implemented on the basis of naive bayes filter by tabulating junkmail features in a form of binary system.

以朴素的贝叶斯过滤器为基础，采用二进制表示方法建立垃圾邮件特征表，设计并实现一种垃圾邮件过滤器。

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.