搜索资源列表
贝叶斯决策
- 实现贝叶斯决策算法，从文件中读出数据，并且会出决策的分布图。-achieve Bayesian decision-making algorithm, which sensed data from the document, and will make the distribution of decision-making.
vista
- 贝叶斯算法源代码以及它应用于垃圾短信过滤的源代码。是用java写的算法。-Bayesian algorithm source code and how it applies to the source code for filtering spam messages. Algorithm is written in java.
Bayes
- 基于信息几何构建朴素贝叶斯分类器，一篇论文，写的挺好的。请改名为doc 简单的实现了遗传算法的功能。-Geometry-based Naive Bayes classifier to build, a paper written in very good shape. Simple implementation of genetic algorithm.
BayesDiscriminate
- Matlab的贝叶斯判别算法（逐步判别）-Matlab' s Bayes discriminant algorithm (stepwise discriminant)
TextCat
- 用朴素贝叶斯算法来进行文件分类,未包含训练数据.-Naive Bayes algorithm is used to carry out classification of documents, not included in training data.
BayesMailFilterC
- C++ 关于贝叶斯算法的邮件过滤系统的实现,-mail filter system on the Bayesian algorithm to achieve the realization of the C++
bayesvc1
- 用贝叶斯算法进行文本分类，在C++环境下编写。-Bayesian text classification algorithm, in C++ environment prepared.
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
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
naivebayes
- 基于matlab 的贝叶斯算法，分类结果显示比较准确-Matlab-based Bayesian algorithm, more accurate classification results
Text-Classification-CPP
- 利用贝叶斯算法进行文本分类，用VC++实现的源代码 -Bayesian text classification algorithm, implemented using VC++ source code
bayes
- 基于java，利用贝叶斯算法实现中文文本分类。（包含可调用的trainingset)(Text classification based on Java using Bayesian algorithm.)
NaiveBayes
- 机器学习入门经典算法中的朴素贝叶斯算法，python3.6，编译通过可运行。(Naive Bayes algorithm in machine learning classic algorithm)
朴素贝叶斯
- 借助朴素贝叶斯算法，针对文本正负面进行判别，并且利用C#进行编程实现(The naive Bayes algorithm is used to judge the positive and negative sides of the text, and the program is implemented by using C#)
bayes
- 基于概率论的分类方法 :朴素贝叶斯 学习朴素贝叶斯算法进行简单的二值分类(Classification method based on probability theory: Naive Bayes Learning naive Bayes algorithm for simple two valued classification)
Naive Bayes
- 调用于sklearn平台的朴素贝叶斯算法，有着较好的分类能力(The naive bayes algorithm for sklearn platform is a good classification capability.)
Bayesian
- 机器学习实验，实现贝叶斯算法 用C++的基础性语言来实现贝叶斯算法(Machine learning experiment and implementation of Bayesian algorithm)
贝叶斯分类算法
- 5个描述属性，一个分类属性，通过贝叶斯算法实现分类(5 descr iptive attributes, one categorical attribute, is implemented by Bayes algorithm.)
Ch04
- 贝叶斯算法使用python ,内含测试数据文件，数据为多个txt格式的邮件文件。(The bayesian algorithm USES python, which contains test data files that are multiple mail files in TXT format.)
bayes
- 贝叶斯算法预先对训练集训练分类，输入测试集进行判断类别。(The Bias algorithm trains the training set in advance, classifying it into the test set and classifying it.)