Description: 用matlab的实现的Adaboost_M1, 主要用运捆绑不同的分类器. boosting 算法的一种 .. -using Matlab the realization of the Adaboost_M1. major shipped bundled with different types of devices. a boosting algorithm .. Platform: |
Size: 6144 |
Author: |
Hits:
Description: 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope you will help Platform: |
Size: 39090176 |
Author:朱朱 |
Hits:
Description: Logitboost 是一种改进的boosting算法，可以用作参考-Logitboost is an improved boosting algorithm can be used as a reference Platform: |
Size: 284672 |
Author:路月 |
Hits:
Description: AdaBoost即Adaptive Boosting算法，广泛用于目标检测特别是人脸识别相关领域。这个资源来自于经典教材，可信度高，绝对可用。即使不用，读读源码总是好的。-Adaptive Boosting algorithm AdaBoost that is widely used for target detection in particular are related to the field of face recognition. This resource from the classic materials, high reliability, can be used absolutely. Even if not, by reading the source code is always nice. Platform: |
Size: 1024 |
Author:吴 |
Hits:
Description: AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.-AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem. Platform: |
Size: 6144 |
Author:来海锋 |
Hits:
Description: MatlabRandomForest is a powerfull toolbox for programing Randim forest, Bagging, Boosting,.., in Matlab.
The Matlab functions (RFClass.m, RFReg.m and RFPrint.m) and compiled Fortran code (RFClassification.dll and RFRegression.dll) must be stored in a directory in the Matlab search path, for example, C:\Matlab6p5\work.
You find in the folder a document who show how to install the toolbox. Enjoy ! Platform: |
Size: 216064 |
Author:Mus |
Hits:
Search - boosting matlab code