搜索资源列表
RandomForest
- JAVA的一个程序，是分类算法中的判定树的一部分。-JAVA a process, the classification algorithm of decision tree part.
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
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
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
89346509RandomForestMatlabVersion
- 這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。-This is a Matlab (and Standalone application) p
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
RandomForest
- 人脸识别库，含有大量的人脸图片。帮助学习人脸识别-Face recognition library containing a large number of face images. Help to learn face recognition
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
- ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策；有训练数据aaa和测试数据bbb；非常适合机器学习的初学者-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data the the aaa and test data bbb ideal for machine learning beginners
forest
- 随机森林分类方法的matlab代码实现，他是在bagging的基础上发展起来的-code of randomforest classiification
RandomForest-C-version
- 随机森林是机器学习领域中一种有效的组合学习模型。在目标检测识别算法中，随机森林被证实在分类中具有很好的性能和效果。提供随机森林源码以供学习参考。-Random Forests field of machine learning is an effective combination of learning model. Target detection and recognition algorithms, random forests was confirmed in the classifi
RandomForest
- 基于决策树实现的随机森林算法，是数据挖掘中一个经典的分类算法，对初学者具有很好的学习参考意义。-Based on Decision Tree achieved random forests algorithm is a classical data mining classification algorithm, for beginners to learn with a good reference value.
RandomForest
- Random Forest code for classification. Random Forest is an ensemble method to build classifier.
RandomForest
- 数据挖掘中random foreast算法的实现，使用java实现的-Data Mining in random foreast algorithm, implemented using java
randomForest
- 完整的随机森林R分类代码，导入数据直接可以使用(the R code of randomforest, and you can use it directly by update your data.)
RandomForest
- RandomForest随机森林实现+python(RandomForest+python3.6)
RandomForest_AdaBoost-master
- 随机森林、Adaboost算法实例+java代码(RandomForest and AdaBoost-master algorithm instance +java code)