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  • 大小: 519KB
    文件類型: .zip
    金幣: 2
    下載: 0 次
    發布日期: 2021-05-13
  • 語言: Matlab
  • 標簽: 集成學習??matlab??

資源簡介

集成學習(Ensemble Learning)有時也被籠統地稱作提升(Boosting)方法,廣泛用于分類和回歸任務。它最初的思想很簡單:使用一些(不同的)方法改變原始訓練樣本的分布,從而構建多個不同的分類器,并將這些分類器線性組合得到一個更強大的分類器,來做最后的決策。本文件內包含多種集成學習方法,可進行選擇,比較其優劣勢

資源截圖

代碼片段和文件信息

function?oul?=?bks_combiner(otlreerel)
%?---?BKS?combiner?for?label?outputs
%?Input:?----------------------------------------
%?????otl:??outputs?to?label
%???????????=?array?N(objects)-by-L(classifiers)
%???????????entry?(ij)?is?the?label?of?object?i
%???????????by?classifier?j?(integer?labels)
%?????ree:??reference?ensemble
%???????????=?array?M(objects)-by-L(classifiers)
%???????????entry?(ij)?is?the?label?of?object?i
%???????????by?classifier?j?(integer?labels)
%?????rel:??reference?labels
%???????????=?array?M(objects)-by-1?
%???????????true?labels?(integers)
%?Output:??--------------------------------------
%????oul:???output?labels
%???????????=?array?N(objects)-by-1?
%???????????assigned?labels?(integers)

N?=?size(otl1);
M?=?size(ree1);
largest_class?=?mode(rel);
oul?=?zeros(N1);?%?pre-allocate?for?speed
for?i?=?1:N
????matches?=?sum(ree?~=?repmat(otl(i:)M1)2)?==?0;
????if?sum(matches)
????????oul(i)?=?mode(rel(matches));
????else?%?there?is?no?match?in?the?reference?
????????%?ensemble?output;?use?the?largest?prior
????????oul(i)?=?largest_class;
????end?
end


?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-12-04?19:03??Classifier-Ensembles-master\
?????文件??????????79??2018-12-04?19:03??Classifier-Ensembles-master\README.md
?????目錄???????????0??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\
?????文件?????????327??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\Readme.md
?????目錄???????????0??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\
?????文件????????4337??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\ExampleClassifierCombinationRules.m
?????文件???????18533??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\FishDataNoNoise.png
?????文件???????23811??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\FishDataNoise30.png
?????文件????????2512??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\Readme.md
?????文件??????229902??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\TwoEnsembleView.png
?????文件??????251454??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\TwoEnsemblesRidge50.png
?????文件????????1131??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\bks_combiner.m
?????文件?????????914??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\create_ensemble2_callback.m
?????文件????????1003??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\create_ensemble_callback.m
?????文件?????????879??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\fish_data.m
?????文件????????1663??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\nb_combiner.m
?????文件?????????842??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\noise_slider_callback.m
?????文件?????????930??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\plot_combiner.m
?????文件????????2827??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\demo\train_linear.m
?????目錄???????????0??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\
?????文件????????8756??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\CombinersSeparately.zip
?????文件????????1711??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\Readme.md
?????文件???????19875??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\TreeCombinerRegions.png
?????文件????????4445??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\TryOutCombiners.m
?????文件?????????822??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\average_combiner.m
?????文件????????1183??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\bks_combiner.m
?????文件????????1245??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\decision_templates_combiner.m
?????文件????????1139??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\ldc_combiner.m
?????文件?????????552??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\majority_combiner.m
?????文件?????????823??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\maximum_combiner.m
?????文件?????????821??2018-12-04?19:03??Classifier-Ensembles-master\combination_rules\individual_combiners\median_combiner.m
............此處省略6個文件信息

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