搜索资源列表
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
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
RandomForest
- 借助weka实现的随机森林算法，值得一看，随便写的。基本实现了原理。-With random forests algorithm weka implementation, worth a visit, just write. The basic realization of the principle.
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 libra
RandomForest
- 随机森林算法是一个可用于数据分类和显现回归的一个相当不错的算法，可实现很多功能。这个算法只需要将所需文件放入一个matlab路径中即可实现-A pretty good random forests algorithm is an algorithm for data classification and regression show, can achieve a lot of functionality. This algorithm
random-forest
- 决策树模型的C++实现，可用来组成随机森林建立随机森林分类器做数据分类及图像分类，代码中有简单的测试样例-C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification,
chapter30
- 基于随机森林思想的组合分类器设计——乳腺癌诊断-Artificial Neural Networks
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
randomforest-matlab
- 基于随机森林思想的分类和回归算法，调试通过。-Random forests classification and regression algorithm based on the thought of.
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
Forest
- 随机森林基于随机森林方法的异常样本检测方法方法根据相关文献提供的实验结果,将54株H5N1病毒株按其对哺乳动物的毒力强弱分为高毒力组和低毒力组,在NCBI Genbank数据库中下载HA基因序列,用随机森林模型完成主要变异氨基酸位点的筛选。-Random forestHigh-dimensional EEG features selection based on random forests algorithm Applicati
rand-forest-ref
- 随机森林3篇不错的文献，方便大家快速入门-rand forest reference
IRIS-use-RFclassification
- 用随机森林RF方法分类IRIS数据集，用一百个数据做训练集，五十个作为测试集，并统计出错误率，可直接运行-Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be
Random-Forest(R)
- 随机森林使用R语言实现（包括各种参数的分析介绍）-Random forests using R language implementation (including the analysis of the various parameters)
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.
biker-predict
- 用matlab自带函数编写的随机森林进行预测分析，此程序曾应用在kaggle比赛上。-Matlab function that comes with writing random forests predictive analysis, this program has been used in the kaggle game.
Radom-Forest[ok]
- 随机森林Matlab代码并附有使用说明，用于图像分类处理-Matlab code of Random Forest
randomforest-matlab
- matlab随机森林,可用于图像融合,matlab在tutorial_ClassRF教程.-A tutorial for matlab now in tutorial_ClassRF.m
A-tutorial-on-spectral-clustering
- 机器学习的各种算法，与实现 如谱分析 ，随机森林，分类器，线性分类器-machine learning and artifical intelligence spectrum anysis ramdom forest and linear classification
random-forests
- 用openCV写的一个能实现随机森林算法的程序，大家可以参考一下-OpenCV written by a Random Forest algorithm to achieve the procedure, we can refer to