搜索资源列表
ML-Navie-Baye
- 相关机器学习,ML-Naive,R语言学习。-Related to machine learning, ML-Naive, R language 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
NB
- 基于朴素贝叶斯方法的情感预测,有下溢出处理,通过归一化可以提高预测的准确度。-Affective forecasting based on naive bayesian method.
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(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类,使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)
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.
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
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)
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外,每章介绍一种方法。叙述从具体问题或实例入手,由浅入深,阐明思路,给出必要的数学推导,便于读者掌握统计学习方法的实质,学会运用。为满足读者进一步学习的需要,书中还介绍了一些相关研究,给出了少量习题,列出了主要参考文
myBayes
- 这个是本人自己写的朴素贝叶斯算法,参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
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.)