文件名称:adaboost

  • 所属分类:
  • matlab例程
  • 资源属性:
  • 上传时间:
  • 2019-01-22
  • 文件大小:
  • 2.23mb
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  • 0次
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基于matlab平台的集成学习算法,基分类器为决策树的adaboost(An integrated learning algorithm based on MATLAB platform, the base classifier is AdaBoost of decision tre)
相关搜索: matlab

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
AdaBoost_demo_plot.m 1364 2016-11-16
AdaBoost_mult.m 8207 2016-11-17
AdaBoost_samme.m 10402 2016-11-17
cross_validation.m 474 2016-11-15
CTG-1.xlsx 414162 2016-11-16
decision_stump.m 3969 2016-11-16
demo_adaboost_mult_with_decision_stumps.m 5726 2016-11-17
demo_adaboost_mult_with_decision_trees.m 5760 2016-11-17
demo_adaboost_sammy_with_decision_stump.m 5713 2016-11-17
demo_adaboost_sammy_with_decision_trees.m 5766 2016-11-17
html\demo_adaboost_mult_with_decision_stumps.html 27289 2016-11-17
html\demo_adaboost_mult_with_decision_stumps.png 2960 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_01.png 21520 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_02.png 15222 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_03.png 103201 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_04.png 129769 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_05.png 88103 2016-11-17
html\demo_adaboost_mult_with_decision_stumps_06.png 120091 2016-11-17
html\demo_adaboost_mult_with_decision_trees.html 31349 2016-11-17
html\demo_adaboost_mult_with_decision_trees.png 2917 2016-11-17
html\demo_adaboost_mult_with_decision_trees_01.png 16689 2016-11-17
html\demo_adaboost_mult_with_decision_trees_02.png 19168 2016-11-17
html\demo_adaboost_mult_with_decision_trees_03.png 103045 2016-11-17
html\demo_adaboost_mult_with_decision_trees_04.png 129987 2016-11-17
html\demo_adaboost_mult_with_decision_trees_05.png 86993 2016-11-17
html\demo_adaboost_mult_with_decision_trees_06.png 115685 2016-11-17
html\demo_adaboost_sammy_with_decision_stump.html 27968 2016-11-17
html\demo_adaboost_sammy_with_decision_stump.png 3000 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_01.png 26471 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_02.png 13582 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_03.png 101036 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_04.png 133433 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_05.png 80523 2016-11-17
html\demo_adaboost_sammy_with_decision_stump_06.png 124272 2016-11-17
html\demo_adaboost_sammy_with_decision_trees.html 25217 2016-11-17
html\demo_adaboost_sammy_with_decision_trees.png 2966 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_01.png 27654 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_02.png 14154 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_03.png 98540 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_04.png 134640 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_05.png 91972 2016-11-17
html\demo_adaboost_sammy_with_decision_trees_06.png 117238 2016-11-17
load_adaboost_model.m 913 2016-11-17
read_me.txt 2321 2016-11-17
save_adaboost_model.m 793 2016-11-17
train_stump_2.m 3466 2016-11-16
train_stump_N.m 3305 2016-11-16
two_level_decision_tree.m 5319 2016-11-17
license.txt 1318 2016-11-16

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