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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 Jiaot
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
随机森林
- RandomForestMatlabVersion
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 Jiaot
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 r
randomForest_4.5-27
- 本程序是基于linux系统下c++代码,实现了一个随机森林算法-This procedure is based on the linux system c++ Code, the realization of a random forest algorithm
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域,是人工智能中非常活跃且范围甚广的主要核心研究领域之一,也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果,主要关注于开发一些让计算机可以自动学习的技术,并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展,以及各种机器学习方法,包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等
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.)
RF_MexStandalone-v0.02
- 随机森林主函数文件,应用matlab可以进行分类处理(Random forest main function file, which can be classified by MATLAB)
randomforest-matlab
- 随机森林分类器的MATLAB代码,方便调用使用随机森林(RF)通过MATLAB平台(MATLAB Code of Random Forest Classifier)
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 c
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 st
随机森林算法
- 随机森林算法可用于简单的预测,参数仅需要部分进行修改