搜索资源列表
seg
- C# 中文分词 基于统计的朴素贝叶斯算法-C# ChineseWordSeg
Nnaive_bayesa
- 朴素贝叶斯分类器，用C++实实现的基于朴素贝叶斯算法的分类器 -Naive Bayesian classifier, the classifier based on the Naive Bayes algorithm to achieve C++ real
openpr-ldf_v0.10
- 基于朴素贝叶斯算法的分类器，代码清晰易懂-Naive Bayes classifier algorithm, code lucid
Naive-Bayesian-Data-Classification
- 数据挖掘基于朴素贝叶斯分类算法实现 该类是训练集的类-Data mining based Bayesian classification algorithm to achieve
main
- 朴素贝叶斯分类器在符号型数据库上的实现，这里说的符号型数据库指属性取值满足离散、无序、有限，无运算-bayesian classifier
Bayes-classifier-code
- 朴素贝叶斯分类器程序代码 采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
Bayesian
- 朴素贝叶斯模型的源代码，可以用于文本分类Naive Bayes model source code, can be used for text classification-Naive Bayes model source code, can be used for text classification
matlab
- 贝叶斯分类器MATLAB经典程序 朴素贝叶斯分类matlab实现 贝叶斯分类算法-bayes matlab program
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
NaiveBayesClassifier
- 基于朴素贝叶斯的文本分类代码实现，java-Based on Bayesian text classification code，java
Matlab-Naive--Bayer
- 朴素贝叶斯分类器程序 对新手大有帮助 快速入门-Naive Bayes
Bayes
- Byes 分类(特征加权的朴素贝叶斯分类）-Byes classification
Bayes
- 朴素贝叶斯分类器，能实现高准确的分类，且速度快-Naive Bayes classifier, can achieve high accuracy of classification and fast
Ch04
- 概率论的分类方法。实例：使用朴素贝叶斯分类器从个人广告中获取区域倾向-Classifying with probability theory: naï ve Bayes
Job1
- 这是一个实现文本分类的朴素贝叶斯方法，用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
bayes
- 基于朴素贝叶斯预测的一个小例子（根据ppt里的例子），将就着看，内有bayes的讲解ppt -开发环境vs2012，c-Based on a small example of Naive Bayesian prediction (based on ppt in the example), will the see, there are explanations bayes ppt - development environment vs2012
NBC
- 迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
eMailSystem
- 采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练，实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
NBregression
- 用朴素贝叶斯方法,knn等方法对数据进行回归,对某新闻标题可引起某种情绪的概率进行预测-Naive Bayesian approach to do data regression
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux