文件名称:adaboost
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-10-01
- 文件大小:
- 7.13mb
- 下载次数:
- 0次
- 提 供 者:
- 龚*
- 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!
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adboost分类器 matlab源程序 用于训练样本 实现分类-Adaboost classifier Matlab source for training samples to achieve classification
(系统自动生成,下载前可以参看下载内容)
下载文件列表
adaboost\3维adaboost\adaboost.m
........\...........\adaboostM1.m
........\...........\adaboostM1_revise1.m
........\...........\adaboostM1_revise2.m
........\...........\addnoise.m
........\...........\circle.dat
........\...........\cross.dat
........\...........\exp1.m
........\...........\exp2.m
........\...........\exp3.m
........\...........\exp4.m
........\...........\exp5.m
........\...........\knn.m
........\...........\lda_tr.m
........\...........\lda_ts.m
........\...........\line.dat
........\...........\mytest.m
........\...........\nb_tr.m
........\...........\nb_ts.m
........\...........\normalize.m
........\...........\readfeature.m
........\...........\ReadMe.txt
........\...........\rec.dat
........\...........\Report.pdf
........\...........\resample.m
........\...........\split.m
........\...........\tri.dat
........\...........\usps.mat
........\adaboost and rbf\abr_v1\@adabooster\adabooster.m
........\................\......\...........\calc_output.m
........\................\......\...........\calc_output_step.m
........\................\......\...........\calc_output_steps.m
........\................\......\...........\comp_distr.m
........\................\......\...........\comp_weight.m
........\................\......\...........\CVS\Entries
........\................\......\...........\...\Repository
........\................\......\...........\...\Root
........\................\......\...........\display.m
........\................\......\...........\do_learn.m
........\................\......\...........\finish_learn.m
........\................\......\...........\get_class_errors_step.m
........\................\......\...........\get_last_distr.m
........\................\......\...........\get_use_sign_output.m
........\................\......\...........\init_learn.m
........\................\......\...........\private\CVS\Entries
........\................\......\...........\.......\...\Repository
........\................\......\...........\.......\...\Root
........\................\......\...........\.......\equal.m
........\................\......\...........\.......\erfunc.m
........\................\......\...........\.......\fmin.m
........\................\......\...........\.......\sigmoid.m
........\................\......\...........\report.m
........\................\......\...........\set_last_distr.m
........\................\......\...........\set_use_sign_output.m
........\................\......\...........\subsasgn.m
........\................\......\...........\subsref.m
........\................\......\..........._regul\adabooster_regul.m
........\................\......\.................\boost_func.m
........\................\......\.................\boost_func_der.m
........\................\......\.................\comp_distr.m
........\................\......\.................\comp_weight.m
........\................\......\.................\CVS\Entries
........\................\......\.................\...\Repository
........\................\......\.................\...\Root
........\................\......\.................\display.m
........\................\......\.................\do_learn.m
........\................\......\.................\get_fin_hyp.m
........\................\......\.................\get_infl.m
........\................\......\.................\get_phi.m
........\................\......\.................\get_vi.m
........\................\......\.................\private\CVS\Entries
........\................\......\.................\.......\...\Repository
........\................\......\.................\.......\...\Root
........\................\......\.................\.......\equal.m
........\................\......\.................\.......\erfunc.m
........\................\......\.................\.......\fmin.m
........\................\......\.................\.......\sigmoid.m
........\................\......\.................\set_fin_hyp.m
........\................\......\.................\set_infl.m
........\...............