adaboost 的matlab代码

上传者: xjieliu999 | 上传时间: 2019-12-21 22:04:21 | 文件大小: 19.16MB | 文件类型: rar
程序中主要包含了ModestAdaBoost,RealAdaBoost,GentleAdaBoost这三种adaboost的matlab程序代码。

文件下载

资源详情

[{"title":"( 60 个子文件 19.16MB ) adaboost 的matlab代码","children":[{"title":"GML_AdaBoost_Matlab_Toolbox_0.3","children":[{"title":"GML_AdaBoost_Matlab_Toolbox_0.3","children":[{"title":"Manual.pdf <span style='color:#111;'> 55.86KB </span>","children":null,"spread":false},{"title":"ionosphere.txt <span style='color:#111;'> 75.02KB </span>","children":null,"spread":false},{"title":"ModestAdaBoost.asv <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"Example_2.m <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"License.txt <span style='color:#111;'> 2.69KB </span>","children":null,"spread":false},{"title":"RealAdaBoost.m <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"@stump_w","children":[{"title":"do_learn_nu.m <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"stump_w.m <span style='color:#111;'> 529B </span>","children":null,"spread":false},{"title":"calc_output.m <span style='color:#111;'> 511B </span>","children":null,"spread":false},{"title":"get_threshold_and_dim.m <span style='color:#111;'> 439B </span>","children":null,"spread":false}],"spread":true},{"title":"TranslateToC.m <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"Example_1.asv <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"ModestAdaBoost.m <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"Classify.m <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"@crossvalidation","children":[{"title":"Initialize.m <span style='color:#111;'> 2.34KB </span>","children":null,"spread":false},{"title":"GetFold.m <span style='color:#111;'> 1008B </span>","children":null,"spread":false},{"title":"crossvalidation.m <span style='color:#111;'> 996B </span>","children":null,"spread":false},{"title":"CatFold.m <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"Initialize.asv <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"ReadMe.txt <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"Example_3.m <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false},{"title":"RealAdaBoost.asv <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"Example_1.m <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"@tree_node_w","children":[{"title":"do_learn_nu.asv <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false},{"title":"do_learn_nu.m <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false},{"title":"calc_output.asv <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"get_dim_and_tr.m <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"calc_output.m <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"train.m <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"train.asv <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"get_dim_and_tr.asv <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"tree_node_w.m <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false}],"spread":false},{"title":"TrainAndSave.m <span style='color:#111;'> 606B </span>","children":null,"spread":false},{"title":"GentleAdaBoost.m <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"C++","children":[{"title":"Example","children":[{"title":"StdAfx.cpp <span style='color:#111;'> 294B </span>","children":null,"spread":false},{"title":"Example.dsp <span style='color:#111;'> 4.69KB </span>","children":null,"spread":false},{"title":"Example.plg <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false},{"title":"RealBoost.txt <span style='color:#111;'> 39.76KB </span>","children":null,"spread":false},{"title":"Example.opt <span style='color:#111;'> 47.50KB </span>","children":null,"spread":false},{"title":"Debug","children":[{"title":"Example.obj <span style='color:#111;'> 7.19KB </span>","children":null,"spread":false},{"title":"Example.pdb <span style='color:#111;'> 449.00KB </span>","children":null,"spread":false},{"title":"vc60.pdb <span style='color:#111;'> 92.00KB </span>","children":null,"spread":false},{"title":"Example.exe <span style='color:#111;'> 236.13KB </span>","children":null,"spread":false},{"title":"vc60.idb <span style='color:#111;'> 65.00KB </span>","children":null,"spread":false},{"title":"BoostedCommittee.obj <span style='color:#111;'> 67.32KB </span>","children":null,"spread":false},{"title":"StdAfx.obj <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"Example.ilk <span style='color:#111;'> 245.50KB </span>","children":null,"spread":false},{"title":"Example.pch <span style='color:#111;'> 199.03KB </span>","children":null,"spread":false},{"title":"SPHypothesis.obj <span style='color:#111;'> 44.50KB </span>","children":null,"spread":false}],"spread":false},{"title":"ReadMe.txt <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"StdAfx.h <span style='color:#111;'> 769B </span>","children":null,"spread":false},{"title":"Example.cpp <span style='color:#111;'> 772B </span>","children":null,"spread":false},{"title":"Example.ncb <span style='color:#111;'> 41.00KB </span>","children":null,"spread":false},{"title":"Example.dsw <span style='color:#111;'> 539B </span>","children":null,"spread":false}],"spread":false},{"title":"IWeakHypothesis.h <span style='color:#111;'> 711B </span>","children":null,"spread":false},{"title":"BoostedCommittee.h <span style='color:#111;'> 840B </span>","children":null,"spread":false},{"title":"SPHypothesis.cpp <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false},{"title":"SPHypothesis.h <span style='color:#111;'> 966B </span>","children":null,"spread":false},{"title":"BoostedCommittee.cpp <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false}],"spread":false},{"title":"1000Feadata5856andlabel.txt <span style='color:#111;'> 44.76MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]

评论信息

  • gamption :
    写的太高深了,普通的用户用不到这么难的 MATLAB神经网络30个案例分析.rar中有个例子挺简单的
    2013-04-05
  • changcheng_cheng :
    能运行。但是算法不是很看得明白。
    2013-03-12
  • chendanwen :
    可以直接运行,就是看不太明白
    2012-08-07
  • guang377735186 :
    写的太高深了,普通的用户用不到这么难的MATLAB神经网络30个案例分析.rar中有个例子挺简单的
    2012-03-06

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明