搜索资源列表
RandomForestMatlabVersion
- Random forest matlab source codes-Random forest Matlab source codes
RandomForests_paper
- 介绍随机森林(Random Forest)最早的,最经典文献!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001-introduced random forests (Random Forest) the earliest, The most classic literature! LEO Le BREIMAN.Random Forests.Machine Jiaotong, 45, 5-32, 2001
RandomForestCversion
- 组合学习算法的新方法--随机森林(Random Forest,RF),用于处理高维问题,可以得到满意的效果!-composition of the new learning algorithm methods -- random forests (Random Forest, RF) for the treatment of high-dimensional problem, it can be satisfied with the results!
RF_MexStandalone-v0.02
- random forest
houghforest
- 使用hough随机森林算法做的单类物体识别-Random forest algorithms use hough a single class of object recognition do
classifier
- 在java中运用weka中的随机森林算法实现的分类器的代码-The use of weka in java in a random forest classifier algorithm code
houghForest
- 这个是Dr. Juergan Gall写的检测识别图片中的物体，有关的文章名字是Class-specific Hough Forests for Object detection. hough森林方法结合了随机森林和Hough选票去估计物体中心的可能。-A method for the detection of instances of an object class.A class-specific Hough forest is a random forest that maps image
RF_MexStandalone-v0.02-precompiled
- 随机森林代码，Matlab代码，很好的学习工具-Random Forest (Regression, Classification and Clustering) implementation for MATLAB (and Standalone)
RandomForest
- 这是一个讲解随机森林算法的PPT，对随机森林讲解的很详细-This is an interpretation of the random forest algorithm PPT, to the very detailed interpretation of the random forest
rotation_forest_A_New_Classifier_Ensemble_Method.z
- 论文提出了旋转森林算法，并将它与随机森林等其他机器前学习算法进行了比较-Rotating forest algorithm is proposed, and it and other machines and random forest learning algorithm were compared before
RF_Class_C
- 用于对图像特征的分类，随机森林算法是一类很好的算法-For the classification of image features, random forest algorithm is a kind of a good algorithm
head-pose-estimation
- 头部姿势估计的程序，利用鼻尖确定头部的方向，进而确定姿势，采用随机回归森林算法。-Head pose estimation procedures, the use of nose to determine the direction of the head, and to determine the position, using the random forest regression algorithm.
class-specific-Hough-forests-
- 用于目标检测的Hough森林分类法。比随即森林效果要好。附有文章和代码。代码是在unix环境下的Opencv运行的。还有训练数据。-ClassSpecifi c Hough Forests for Object Detection，better than random forest.include paper and source code ,working in Opencv .
random-forests
- 基于随机森林的烤烟香型分类研究，很好的将烤烟香型分类与随机森林算法结合在一起。-Classification of Tobacco flavor random forest, a good flavor of the flue-cured tobacco in conjunction with the random forest classification algorithm together.
Radom-Forest
- 最原始的随机森林matlab算法 亲测可用 包括回归和分类-Most original Random Forest algorithm matlab pro-test available including regression and classification
online-random-forests-master
- 在线随机森林算法的源码，用于分类模式识别有很好的效果，适用于linux系统下。-Online Random Forest algorithm source code, for classification pattern recognition have a good effect for linux system.
forest
- an enhance algoritm of random forest
random forest
- 简单的随机树生成代码 可以直观的对随机树有一个直观的认识。(Simple random tree generation code can intuitively have an intuitive understanding of random trees.)
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)
Random-Forests-Matlab-master (2)
- 要说随机森林，必须先讲决策树。决策树是一种基本的分类器，一般是将特征分为两类（决策树也可以用来回归，不过本文中暂且不表）。构建好的决策树呈树形结构，可以认为是if-then规则的集合，主要优点是模型具有可读性，分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the m