搜索资源列表
贝叶斯分类器在手写汉字识别中的应用
- 贝叶斯分类器在手写汉字识别中的应用-Bayesian classifier Handwritten Character Recognition Application
BeiyesiClassfication
- 本系统是一个简单的朴素贝叶斯的数据集分类系统,能够通过输入数据并预测数据集属于哪一个类
task description & data for assignment 2
- 利用贝叶斯算法实现的分类器-algorithm using Bayesian classifier
NaiveBayes.java.tar.gz 基于weka的分类算法
- 基于weka的分类算法,用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论,有着坚实的数学基础,以及稳定的分类效率。同时,该算法所需估计的参数很少,对缺失数据不太敏感,算法也比较简单。理论上,与其他分类方法相比具有最小的误差率。,Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical
基于朴素贝叶斯方法的文本分类
- 本程序实现了基于朴素贝叶斯方法的文本分类,附有源代码、实验报告、可执行程序以及语料库(包括训练集和测试集) -This procedure implements the text-based Naive Bayes classification method, with source code, test reports, executables and corpus (including the training set and test set)
NaviveBayes2010
- 使用贝叶斯实现文本分类,也可以实现短信分类和邮件分类-Achieved using the Bayesian text classification, text classification can be achieved and mail classification
byesjava
- 贝叶斯算法文本分类的实现。。。Java语言编写-Bayesian text classification algorithm implementation. . . Java language
NaiveBayesClassifier
- 利用Java实现的贝叶斯分类器,目的是进行文本分类-Bayesian to web classify
Solution
- 数据挖掘,分类算法,贝叶斯算法,Java实现-Data mining, classification algorithms, Bayesian algorithms, Java implementation
standbayemail_1.0.0
- StandBayeMail,运用贝叶斯方法对邮件进行过滤的客户端程序,用java编写-StandBayeMail
NaviveBayesClassify
- 基于朴素贝叶斯文本分类器 可进行简单的文本分类-Based on Naive Bayes text classification can be simple text classification
Javaspamfiltering
- java 过滤垃圾邮件 贝叶斯过滤 内含语料 有正常邮件 垃圾邮件 便以过滤-java Bayesian filter to filter spam e-mail containing a normal corpus will be to filter spam
BayesianNetworktool
- 一款非常优秀的开源贝叶斯网络工具包,java程序编写的。-A very good open source Bayesian network toolkit, java programming in.
bnj33_may2006_src
- java实现的贝叶斯网络程序源代码,有比较好的参考价值和实用价值-java implementation of the Bayesian network source code, there are good reference value and practical value
Emailfilter
- 邮件过滤器,使用了朴素贝叶斯算法,用来过滤垃圾邮件-Email filter:it is used for filter the junk email
bayes
- 朴素贝叶斯分类器包括了停用词的处理,结果是很不错的-Naive Bayesian classifier
帧间差分+码书+MOG+贝叶斯
- 用四种方法进行背景建模运动检测,是基于c++的哦,别下错了,
naiveByes
- 朴素贝叶斯分类器基于一个简单的假定:给定目标值时属性之间相互条件独立。(The simple Bias classifier is based on a simple assumption that attributes are independent of each other when given the target value)
BreastCancer
- Java实现机器学习经典分类算法,代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
javamail
- 基于朴素贝叶斯的一个具有图形界面的垃圾邮件过滤系统(A spam filtering system based on Naive Bayes)