搜索资源列表
Classifier
- 几种分类器，包括adaboost和随机森林-Several classifiers including adaboost and random forest
Breimans-randomForest-
- 随机森林提出者的算法，matlab版本，有例子-Random Forest algorithm author, matlab version, there are examples
RF_MexStandalone-v0.02-precompiled
- 随机森林程序，包括分类和回归，有详细的例子参考，很好用-Random Forest program, including classification and regression, a detailed example of reference, easy to use
randomforest-matlab
- Random Forest可以运行的代码。从csdn上面当下来的。-Random Forest Source Code
randomForest_4.6-7
- 随机森林算法应用 代码 很有用 很有用放心使用 安全可靠-Random Forest algorithm code is useful useful assured safety and reliability
randomforest
- 随机森林的matlab算法实现，model是训练函数，tree是分类标签函数-Random Forest algorithm matlab, model is the training function, tree classification label function
Toolbox_randomforest
- This toolbox is for random forest based. This will help to matlab coders.
adaboost
- AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的
TextDetect
- 该代码利用canny算子实现了文字检测，还使用了随机森林算法，运用了boost库和opencv库，检测效果非常好，平台是Visual Studio 2010-The code implements the use of canny operator Text Detection, also used the random forest algorithms use the boost libraries and opencv library, testing the effect is very
Random-Forest-Matlab-master
- This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruni
randomforesttt
- 随机森林分类器，matlab写的，直接可以运行，不需要该任何东西-Random Forest classifier, matlab write, direct run, does not require that anything
RF_Class_C
- 实现随机森林的分类，可以对二维图像进行随机审理分类处理。-random forest
op_SVM
- svm优化算法，利用改进的随机森林对SVM参数进行优化，提高运算精度和速度。-SVM optimization algorithm, the parameters of SVM are optimized by using random forest improvement, improve the calculation precision and speed.
pxc3876557
- Investigating Cardiac Arrhythmia in ECG using Random Forest Classification-Investigating Cardiac Arrhythmia in ECG using Random Forest Classification
RF_Class_C
- 随机森林训练测试模型，用于特征的分类与测试-Random Forest model training tests
RF_Reg_C
- 随机森林训练测试模型，用于矩阵的线性回归算法-Random Forest model training tests
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定-Random Forest is a decision tree classifier comprising a plurality, and its output is the category number by individual trees all output categories may be
randomforest-matlab
- 一个Matlab实现Random Forest的源代码，里面有使用说明和范例-Random Forest achieve a Matlab source code, there are instructions and examples
randomForest_4.6-7
- Random Forest在R软件上实现，可以更快速的分类，非常实用的方法-Random Forest on the R software, you can more quickly classified, very practical approach
LEO-BREIMAN
- Random Forest开发者LEO BREIMAN写的文章，内容为Random Forest理论说明和程式应用-Random Forest LEO BREIMAN developers write articles, content Random Forest theoretical descr iption and application program