搜索资源列表
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
python-chengxu
- 关于python写的朴素贝叶斯分类，写的非常不错-Written python on Bayesian classifier This procedure is very good
native-bayes-classifier
- 朴素贝叶斯算法的源代码实现，（含训练数据）-to achieve native bayes classifier
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
NaiveBayes
- 贝叶斯分类器，机器学习十大经典算法之一，基本的实现-Naive Bayes
Bayes
- 做了C++的贝叶斯分类算法的实现，希望感兴趣的下载-Do realize C++ Bayesian classification algorithm want to download interesting
HCgai
- 贝叶斯网络结构学习爬山算法的改进方法，更准确-Improved Bayesian network structure learning climbing algorithm, more accurate
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
贝叶斯概率分解源码
- 贝叶斯概率分解的matlab详细源码，里面有详细的推导过程
贝叶斯网工具箱
- 贝叶斯网的工具箱，很实用，可以直接运行。(Bayesian network toolbox, very practical, you can run directly.)
NBC
- 朴素贝叶斯模型，用来做大数据的分类，是一种很简单易上手的模型，代码很简单，有例子。(Naive Bayes model is used to enlarge the classification of data)
贝叶斯和KNN算法比较——基于Adult数据集
- 朴素贝叶斯算法和KNN算法比较，其中用到的数据集为adults(Comparison of Bias and KNN algorithms)
贝叶斯
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类(The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the proba
相关向量机
- 稀疏贝叶斯学习中相关向量机学习程序资料，一起学习(In sparse Bayesian learning, correlation vector machine learning program data, learning together)
naivebayes
- 朴素贝叶斯分类算法的代码，可实现多案例使用(The code of the simple Bias classification algorithm can be used for multiple cases)
BIC确定GMM聚类簇数
- 通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)
FullBNT-1.0.7
- 贝叶斯工具箱,本人亲测好用，用于复杂贝叶斯网求解。(Bayesian Tools boxes which can be used to complex Bayesian network)