搜索资源列表
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
CLASSIFICATION-with-newsgroup
- 多文本分类，KNN和朴素贝叶斯算法，英文文本，-Text categorization, KNN and naive bayes algorithm, the English text,
weka
- 机器学习调用weka的jar包实现的源码，包含朴素贝叶斯,决策树,ID3,以及特征选择的源码，数据集使用weka的数据集，需要使用arff文件读入。-Weka machine learning to call the jar package implements the source, including Naive Bayes, decision trees, ID3, and features selected source dataset weka data set, you need t
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
Bayes
- 最简单的朴素贝叶斯程序，其中的数据上花种的分类情况。(Naive Bayesian program is the most simple, the classification of the data on the flowers.)
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.)
朴素贝叶斯
- 朴素贝叶斯算法，是十大最经典的数据挖掘算法之一(Naive Bayes algorithm, the most classic data mining algorithm)