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Adaboost
- 一个用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 a Matlab Adaboost_M1 the realization of the main shipped bundled with different types of devices. A boosting algorithm
adaptive_adaboosting.rar
- 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 ,AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm t
adaboost_for_matlab
- 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 learnin
code
- 基于boosting的人脸检测的matlab实现-Boosting-based face detection matlab implementation
Boosting_tutorial
- Schapire 所著的Boosting算法的教程。 对目前物体识别和机器学习领域中广泛应用的Boosting算法展开了深入浅出的描述，还有很多Toy Examples。-Tutorial for Boosting algorithm by Schapire
boostingdisplay
- boosting的演示文件，matlab7.0，需自己添加数据-boosting the presentations, matlab7.0, add your own data to be
ABdemo
- 神经网络，BOOSTING算法，MATLAB-Neural network, BOOSTING algorithm, MATLAB
MatlabRandomForest
- 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 i
adaboost
- 一个强大的自适应boosting算法，十分经典，matlab实现，绝对超值，可以改编成其它语言。-A powerful adaptive boosting algorithm, very classic, matlab realize, absolute value, and can be adapted to other languages .
boosting_demo
- 基于matlab的boosting demo代码的实现-Based on the matlab code to achieve boosting demo
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
baggingaboosting
- Matlab code for bagging and boosting (data mining)
Adaboost
- 用Adaboost实现行人检测中的漏检率，与boosting进行比对。(Using Adaboost to achieve missed detection rate in pedestrian detection, compared with boosting.)
GBM
- matlab 实现梯度提升决策树。用于能耗预测。(Matlab implements a gradient boosting decision tree. Used for energy forecasting.)