搜索资源列表
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!
随机森林
- RandomForestMatlabVersion
randomForest_4.5-27.tar.gz
- 是基于linux系统的C++程序,是一个学习算法随机森林,希望对大家有用,Is based on the linux system C++ Process is a learning algorithm Random Forest, in the hope that useful
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
Hough-Forest
- 使用hough森林方法检测识别图片中的物体,比随机森林速度更快。-using hough forest method to detect and recognize the objective in image rather than using the random forest method
RandomForest
- RandomForest.java 基于Java的随机森林程序,希望对大家有帮助。-This program is free software you can redistribute it and/or modify
RandomForest
- 随机森林论文作者写的随机森林代码,采用matlab混合编程,需要安装Fortran compiler-An interface to the random forest algorithm (version 3.3) written by Leo Breiman and Adele Cutler. This tool is for windows MATLAB R13 only
支持向量机与随机森林
- 支持向量机与随机森里的代码.可以随意使用~~~(Support vector machine and random son code. Can be used at will)
rfuncs
- 用随机森林的方法进行特征选择,对200了影像特征数据进行分类(Feature selection using random forest methods)
随机森林代码
- 基于GEE平台,landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)
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
random forest
- 利用matlab编程来实现多光谱遥感数据的随机森林分类(Random Forest Classification by Multispectral Remote Sensing)
random forest
- 利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)
RF_MexStandalone-v0.02-precompiled
- 运用随机森林方法对数据进行建模,可以用模型进行预测与分类(Random forest prediction and classification)
随机森林
- 程序包含决策树 随机森林代码 附带数据 python2.7版本
随机森林策略
- 机器学习,智能选股,回测平台使用聚宽,根据当前股价,结合以往学习数据,做出最优策略(Machine learning, intelligent stock selection, backtesting platform use jukuan, according to the current stock price, combined with previous learning data, to make the optimal strategy)
机器学习之随机森林
- Bagging是并行式集成学习方法最著名的代表,Bagging通常对分类任务使用简单投票法,随机森林(RF)是Bagging的一个扩展变体,RF在以决策树为基学习器构建Bagging 集成的基础上,进一步在决策树的训练过程中引入了随机属性选择。在RF中,集成模型的每棵树构建时所需的样本都是由训练集经过有放回的随机抽样得来(即自助采样法bootstrap sample)。
随机森林源码
- 随机森林的源代码
python的随机森林
- 这个代码在pycharm里实现了随机森林的实验,简单快捷,很好用!