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RF_MexStandalone-v0.02-precompiled
- 用c写的随机森林工具包，可以在MATLAB环境下使用-This readme supercedes the ones in the sub-folders if you plan to use just the binaries on a Windows machine. The binary for windows are already included, and should work out of the box. Matlab usually installs these
RandomForest
- 随机森林分类器算法的应用，包含分类例子和回归例子(Random forest algorithm matlab)
random_forest
- 随机森林在mnist上的实现，可以下载数据集后，改变路径运行。(Random forest on the MNIST implementation, you can download the data set, change the path to run.)
Windows-Precompiled-RF_MexStandalone-v0.02-
- 机器学习方法随机森林用于将输入的数据分成不同的类(Machine learning method random forest is used to classify input data into different classes)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
Cd
- matlab用于对图像特征的分类，随机森林算法是一类很好的算法(matlabrunRFrunRFunRFunRF)
dynamic_model_free_human_3
- 随机森林matlab工具箱，特别好用。里面有一个指导m文件，按照它来就学会如何用了(dynamic model of robot using Newton-Euler)
random forest-matlab
- rf-随机森林：一个简单的随机森林例子，包含C4.5，ID3等多种信息熵计算过程(A simple example of random forest, including C4.5, ID3 and other information entropy calculation process)
决策树
- 利用R语言实现决策树，使用 party 包构建决策树，使用 rpart 包构建决策树，以及随机森林的构建(using R language analyizing ...)
集成学习
- 集成学习算法的学习和应用研究，随机森林等相关算法(Study and application of integrated learning algorithm)
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
bagging-boosting-random-forests-master
- bagging 工具箱，随机森林工具箱，使用MATLAB2014b 环境测试(Bagging toolbox, random forest toolbox, using the MATLAB2014b test environment)
机器学习常用方法
- 机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
RF_Class_C
- 在matlab中，运用随机森林算法来解决图像特征处理的问题。(In Matlab,the random forest method is used to solve the classification of image features.)
ensemblelearning
- 集成学习算法，包括随机森林，bagging.(Integrated learning algorithms, including random forests, bagging.)
randomforest.R
- R 语言 随机森林分类特征选择，打分特征重要性(R language random forest feature selection importance)
RandomForest_AdaBoost-master
- 随机森林、Adaboost算法实例+java代码(RandomForest and AdaBoost-master algorithm instance +java code)
5
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
1
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
randomForest_4.6-12
- 统计软件R程序，随机森林包，人工智能分类，回归，预测软件包(Statistical software R program, random forest installation package, realize artificial intelligence classification, regression, prediction.)