Based on boosting method of classification, a very good classification results

adaboost
........\3维adaboost
........\...........\ReadMe.txt
........\...........\Report.pdf
........\...........\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
........\...........\rec.dat
........\...........\resample.m
........\...........\split.m
........\...........\tri.dat
........\...........\usps.mat
........\adaboost and rbf
........\................\abr_v1
........\................\......\@adabooster
........\................\......\...........\CVS
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........\................\......\...........\...\Repository
........\................\......\...........\...\Root
........\................\......\...........\adabooster.m
........\................\......\...........\calc_output.m
........\................\......\...........\calc_output_step.m
........\................\......\...........\calc_output_steps.m
........\................\......\...........\comp_distr.m
........\................\......\...........\comp_weight.m
........\................\......\...........\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
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........\................\......\...........\.......\...\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
........\................\......\@adabooster_regul
........\................\......\.................\CVS
........\................\......\.................\...\Entries
........\................\......\.................\...\Repository
........\................\......\.................\...\Root
........\................\......\.................\adabooster_regul.m
........\................\......\.................\boost_func.m
........\................\......\.................\boost_func_der.m
........\................\......\.................\comp_distr.m
........\................\......\.................\comp_weight.m
........\................\......\.................\display.m
........\................\......\.................\do_learn.m
........\................\......\.................\get_fin_hyp.m
........\................\......\.................\get_infl.m
........\................\......\.................\get_phi.m
........\................\......\.................\get_vi.m
........\................\......\.................\private
........\................\......\.................\.......\CVS
........\................\......\.................\.......\...\Entries
........\................\......\.........

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