搜索资源列表
randomForest_4.5-36
- 随机森林分类器 可以实现分类 适合初学者学习参考-Neural network classifiers can be used to classify information for beginners to learn
Windows-Precompiled-RF
- matlab 的随机森林代码,很不错,学习rf必备-matlab code for random forests, very good
random-forest
- 随机森林算法是opencv中的重要的算法,其中讲述了随机森林的定义特征构建方法等-Random Forests algorithm is an important algorithm in opencv, which describes the defining characteristics of a random forest construction methods
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)
RF_MexStandalone-v0[1].02
- 随机森林算法 C++和matlab程序结合-Random forests algorithm C++ and matlab program combines
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
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,并简单叙述了机器学习的相关算法,包括决策树算法、随机森林算
RandomForests
- 关于机器学习领域分类的随机森林算法的相关学习资料-learning things about random forests
randomforest
- 实现了基于自举法和角色数算法的随机森林算法-Implemented based on the number of bootstrap method and the role of the random forest algorithm algorithm
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
MacOS_precompiled-WITHOUT_SOURCE-v0.02
- 苹果系统下用MATLAB所编的随机森林算法-Mac system compiled with MATLAB random forest algorithm
Bagging_predictors
- 介绍Bagging最早的、最经典的文献,作者是Bagging和随机森林的创始人LEO BREIMAN-Bagging first introduced, the most classic literature, the author is the founder of Bagging and random forests LEO BREIMAN
code
- C++实现的两类问题随机森林生成算法,对学习随机森林很有帮助-Source code for random forests,wanderful codes,and help youself to it!
OMCLPBoost-0.11.tar
- 一个国外在线随机森林算法,可供机器学习程序参考-online random forest boost
OnlineForest-0.11.tar
- online random forest 在线随机森林做跟踪和分类的代码-online random forest-line tracking and classification random forest to do the code
RandomForest
- RandomForest.java 基于Java的随机森林程序,使用weka工具实现,希望对大家有帮助。-This program is free software you can redistribute it and/or modify
randomforest-matlab
- 一个随机森林的实现源码,非常实用,可以下载-A the random forest realization source very practical and can be downloaded
RandomForest_matlab
- 随机森林的matlab版本,重修改整理过的,可以直接拿来用,带实例。可以用来做回归法分析及分类。是机器学习中的快速有效的方法,基本不会产生过拟合。-Random Forest, an efficient regression and classification tool in area of machine learning. The Programms performs well and a demo is offered.