文件名称:Matlab_Toolbox_adaboostAlgorithm
- 所属分类：
- matlab例程
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 112kb
- 下载次数：
- 0次
- 提 供 者：
- 朱*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
提供了adaboost Algoritm的工具箱，该算法是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。
-Adaboost is an iterative algorithm, the core idea is the same training set for training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification) .
-Adaboost is an iterative algorithm, the core idea is the same training set for training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification) .
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下载文件列表
Matlab_Toolbox_adaboostAlgorithm
................................\@crossvalidation
................................\................\CatFold.m
................................\................\crossvalidation.m
................................\................\GetFold.m
................................\................\Initialize.asv
................................\................\Initialize.m
................................\@stump_w
................................\........\calc_output.m
................................\........\do_learn_nu.m
................................\........\get_threshold_and_dim.m
................................\........\stump_w.m
................................\@tree_node_w
................................\............\calc_output.asv
................................\............\calc_output.m
................................\............\do_learn_nu.asv
................................\............\do_learn_nu.m
................................\............\get_dim_and_tr.asv
................................\............\get_dim_and_tr.m
................................\............\train.asv
................................\............\train.m
................................\............\tree_node_w.m
................................\C++
................................\...\BoostedCommittee.cpp
................................\...\BoostedCommittee.h
................................\...\Example
................................\...\.......\Example.cpp
................................\...\.......\Example.dsp
................................\...\.......\Example.dsw
................................\...\.......\ReadMe.txt
................................\...\.......\RealBoost.txt
................................\...\.......\StdAfx.cpp
................................\...\.......\StdAfx.h
................................\...\IWeakHypothesis.h
................................\...\SPHypothesis.cpp
................................\...\SPHypothesis.h
................................\Classify.m
................................\Example_1.m
................................\Example_2.m
................................\Example_3.m
................................\GentleAdaBoost.m
................................\ionosphere.txt
................................\License.txt
................................\Manual.pdf
................................\ModestAdaBoost.m
................................\ReadMe.txt
................................\RealAdaBoost.m
................................\TrainAndSave.m
................................\TranslateToC.m
................................\@crossvalidation
................................\................\CatFold.m
................................\................\crossvalidation.m
................................\................\GetFold.m
................................\................\Initialize.asv
................................\................\Initialize.m
................................\@stump_w
................................\........\calc_output.m
................................\........\do_learn_nu.m
................................\........\get_threshold_and_dim.m
................................\........\stump_w.m
................................\@tree_node_w
................................\............\calc_output.asv
................................\............\calc_output.m
................................\............\do_learn_nu.asv
................................\............\do_learn_nu.m
................................\............\get_dim_and_tr.asv
................................\............\get_dim_and_tr.m
................................\............\train.asv
................................\............\train.m
................................\............\tree_node_w.m
................................\C++
................................\...\BoostedCommittee.cpp
................................\...\BoostedCommittee.h
................................\...\Example
................................\...\.......\Example.cpp
................................\...\.......\Example.dsp
................................\...\.......\Example.dsw
................................\...\.......\ReadMe.txt
................................\...\.......\RealBoost.txt
................................\...\.......\StdAfx.cpp
................................\...\.......\StdAfx.h
................................\...\IWeakHypothesis.h
................................\...\SPHypothesis.cpp
................................\...\SPHypothesis.h
................................\Classify.m
................................\Example_1.m
................................\Example_2.m
................................\Example_3.m
................................\GentleAdaBoost.m
................................\ionosphere.txt
................................\License.txt
................................\Manual.pdf
................................\ModestAdaBoost.m
................................\ReadMe.txt
................................\RealAdaBoost.m
................................\TrainAndSave.m
................................\TranslateToC.m