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bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
naivebayes
- 用matlab编写的朴素贝叶斯分类器程序，以文件中的训练数据对分类器进行训练，并用测试数据进行测试，以验证分类器的性能。-The algorithm for naive bayes classifier.
NaiveBayesian
- 使用Python语言写的经典朴素贝叶斯算法的实现，完全能够应对算法设计课程的课程设计的代码需要-Implemented using Python language written in classic Naive Bayes algorithm, fully able to cope with the algorithm design course curriculum design code requires
NaiveBayesClassifier.m
- I use Matlab 2008a which does not support Naive Bayes Classifier. scr ipt supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the scr ipt. Also includes function for confusionmat
NB_All_Variables
- multi class naive bayes algorithm i coded for predicting football results
bayes1
- 朴素贝叶斯法主要根据概率论中的贝叶斯法则，是一种很好的用于文本分析的机器学习算法-Naive Bayes method is a kind of machine learning algorithm based on the theory of probability, which is a good machine learning algorithm for text analysis.
textclassify.tar
- 简单的文本分类，用python实现了朴素贝叶斯和SVM-Simple text classification, realized with python Naive Bayes and SVM
MachineLearning
- 非常好用的基于QT实现机器学习的朴素贝叶斯算法-Very easy to use machine learning based on QT implement Naive Bayes algorithm
bys
- 本文主要描述了朴素贝叶斯分类方法，包括模型导出和学习描述。实例部分总结了《machine learning in action》一书中展示的一个该方法用于句子感情色彩分类的程序。1 方法概述 学习（参数估计） 实现：朴素贝叶斯下的文本分类-This paper describes the naive Bayesian classification methods, including export and learning descr iptive model. Example
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
code
- in machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.-in machine learning, naive Bayes classifiers are a family
Main
- 朴素贝叶斯算法的代码实现，能够实现对数据的自相关，互协方差等统计方面特征的数学分析-Code naive Bayes algorithm implementation can be achieved for autocorrelation of the data, mathematical analysis statistical characteristics of the cross-covariance, etc.
SVM-and-NB
- 支持向量机与朴素贝叶斯算法，对数据进行分类后深度了解数据的结构-Support vector machine and naive Bayes algorithm.Classifying the data and understanding the structure of the data in depth
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
User and Movie
- 本实验采用朴素贝叶斯模型，对于每个用户曾经评分过的电影判断其性别。直观上来说，不同的电影对于不同性别的人吸引力不同，如男性更喜欢武侠剧、动作剧，而女性更喜欢爱情剧。因此这样建立模型是可以理解的。对每个训练数据组建立分布表。依据最大似然准则判断性别。对于年龄采用相似的方法进行判断。包括源程序和实验报告。(In this experiment, a naive Bayes model is used to determine the gender of each movie that the use
text classfication
- 朴素贝叶斯文本分类的简单案例，了解朴素贝叶斯的算法实现过程(Naive Bayes text classification of simple cases, to understand the naive Bayes algorithm implementation process)
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)
Source Code
- K Nearest Neighbor, Bayes, Naive Bayes Classifier for Multiclass Problem.
NaiveBayesNLP
- 使用weka 运行朴素贝叶斯，去除拉普拉斯平滑(Use weka to run naive bayes, and delete laplace smoothing)
algorithm
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Naive Bayes has been studied extensively since the 19