Description: Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
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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
................\......\.................\subsasgn.m
................\......\.................\subsref.m
................\......\.booster_base\booster_base.m
................\......\.............\CVS\Entries
................\......\.............\...\Repository
................\......\.............\...\Root
................\......\.............\display.m
................\......\.............\get_boosted_learner.m
................\......\.............\get_boost_steps.m
................\......\.............\get_param.m
................\......\.............\get_proto.m
................\......\.............\get_vote_weight.m
................\......\.............\get_vote_weights.m
................\......\.............\set_boosted_learner.m
................\......\.............\set_boost_steps.m
................\......\.............\set_param.m
................\......\.............\set_proto.m
................\......\.............\set_vote_weights.m
................\......\.............\subsasgn.m
................\......\.............\subsref.m
................\......\.............\train_weak.m
................\......\.data\check_std.m
................\......\.....\consistent.m
................\......\.....\data.asv
................\......\.....\data.m
................\......\.....\display.m
................\......\.....\get_idim.m
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