搜索资源列表
mail
- 垃圾邮件过滤器 本软件基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90 以上。-Spam filter software is based on the Naive Bayes algorithm, using NetBeans generated interface [have to JDK1.6], suitable for mobile phone message, mail messages, d
bag_words_demo
- 一个学习自然场景类别的贝叶斯模型、基于“词袋”模型的目标分类。来源于Feifei Li的论文。是近年来的目标识别模型热点之一。-”A Bayesian Hierarchical Model for Learning Natural Scene Categories“ FeiFei Li.CVPR2005
Bayes
- 朴素的贝叶斯网络是数据挖掘中的一项重要技术,本源码使用朴素的贝叶斯网络实现数据的分类-data classification by Naive Bayes
stprtool
- 贝叶斯理论,PCA等等数学方法用于编程实现约简、分类等多种功能。-Bayesian theory, PCA, etc. The method has been applied mathematical programming to achieve reduction, classification and many other features.
webcat
- 这是一个100 %纯Java库,您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法, namelly 支持向量机,贝叶斯Logistic回归,神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归,一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项,请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
bayesian
- 用于分类规则挖掘的贝叶斯信念构造算法,用于分类规则挖掘的贝叶斯信念构造算法-For Classification Rule Mining Algorithm for Constructing Bayesian Belief for Classification Rule Mining Algorithm for Constructing Bayesian Belief
fisher_matlat
- 简单的分类器的实现,包括最小线性法,贝叶斯、fisher准则等,可以学习借鉴。-fisher matlab
bayes
- 贝叶斯决策理论:根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策:根据一个事物后验概率最大作为分类依据的决策 -Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a
MailFilter
- JAVA写的垃圾邮件过滤器,基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90 以上。-JAVA to write spam filters, based on the Naive Bayes algorithm, using NetBean generated interface (to be JDK1.6), applies to SMS, E-mail e-mail, diary and some oth
bayes_discrete
- 利用matlab实现的离散贝叶斯的源代码,可以用来分类或识别,很值得收藏-Implemented using discrete Bayesian matlab source code can be used to classification or identification, it is worthy of collection
BayesDataMining
- 贝叶斯算法的对垃圾邮件数据进行分类处理,总共分成两类。-Bayesian algorithm for spam classification data, a total of two separate categories.
57578895BAYES
- 用基于贝叶斯的的方法对文本进行分类主要用于数据挖掘领域-Using the method based on Bayesian text classification is mainly used for data mining
bayes
- 利用贝叶斯实现的分类器小程序,显示出按照最小风险和最小误差分类的结果-Bayesian classifier implemented using a small program to show in accordance with the minimum risk and minimum error classification results
Bayes-Iris
- 根据贝叶斯原理设计的一个简单的分类器,利用已知样本数据训练后,分类器就可以对未知样本进行分类。(实验时采用的是Iris数据集。)-According to the design of a simple Bayesian classifier, using the known training sample data, the classifier can classify the unknown samples. (Experiments using the Iris data set.)
Bayes
- 用贝叶斯算法对属性进行分类,输入为属性矩阵-Byes
iris_bayes
- 对一组iris数据进行分类的贝叶斯算法,并用留一法计算正确率-Iris on a Bayesian algorithm to classify the data, and calculated using leave-one accuracy
bayes-sort
- 电子书,一篇论文,----用于分类规则挖掘的贝叶斯信念构造算法-For Classification Rule Mining Algorithm for Constructing Bayesian Belief
1111
- 文本挖掘-中文分类器搜索,可以挖掘出文本主干,利用贝叶斯算法。-Text mining
beiyansi
- 用于作为检测贝叶斯的应用,可以对数据进行分类,然后分析其作用-mainly used bayes