搜索资源列表
jBNC_src_v.1.2.2
- bayes network classifier toolbox 贝叶斯网络分类工具箱-bayes network toolbox Bayesian classifier network classifier Toolbox
work
- 1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and f
bayes
- weka中的贝叶斯分类算法，朴素贝叶斯，贝叶斯神经网络，文本分类(Bias classification algorithm in Weka, simple Bias, Bias neural network, text classification)
naive_bayes
- 朴素贝叶斯算法分类及回归，附带训练集和测试集，可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
bayes
- 使用朴素贝叶斯对垃圾邮件进行分类，附带数据(For spam classification using Naive Bayesian, supplementary data)
NativeBayes
- 朴素贝叶斯垃圾邮件分类器，好歹哦后期维护阿里斯顿啊两千万(Naive Bayes spam classifier)
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)
朴素贝叶斯源码
- 朴素贝叶斯分类器用Python实现，基础代码适合初学者(Naive bayes classifier is implemented in Python, and basic code is suitable for beginners)
模式识别第二次作业
- 基于贝叶斯原理，通过体重身高数据进行性别分类(Based on Bayes principle, sex classification is carried out by body weight and height data)
text_classification.tar
- 用python实现的问题分类算法，包括贝叶斯，svm,决策树，xgboost,对入门文本分类的同学有一定的帮助(text classification algrithom,include svm,dt,xgboost,bayes,that important to learner about text classification)
Beyes
- 利用matlab实现简单的贝叶斯分类，小案例(Using MATLAB to realize Bias classification)
Url
- 利用朴素贝叶斯BS实现从HTTP数据流中识别出用户基于浏览器访问的URL(Using the naive Bayes BS to realize the user based browser access based URL from the HTTP data stream)
bayes_C++
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _C++
- 贝叶斯分类器-独立变量_C++，只需更改样本文件名即可测试。(Bias classifier - independent variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _matlab
- 贝叶斯分类器-独立变量_matlab，只需更改样本文件名即可测试。(Bias classifier - independent variable _matlab, can be tested only by changing the name of the sample file.)
bayes_joint variable _matlab
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
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.)
python_self
- 实现了机器学习的各种分类算法，如：knn，svm，朴素贝叶斯，神经网络，决策树等。(Various classification algorithms of machine learning, KNN, SVM, naive bayes, neural network, decision tree, etc.)
Gauss Bayes
- 使用高斯贝叶斯函数对已有数据进行分类，有样本集(The Gauss Bayes function is used to classify the existing data.)
bayes_analyse
- 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)