Classifier

所属分类:matlab编程
开发工具:matlab
文件大小:665KB
下载次数:98
上传日期:2014-01-23 13:24:23
上 传 者settingsun1225
说明:  几种分类器,包括adaboost和随机森林
(Several classifiers including adaboost and random forest)

文件列表:
Classifier\AdaBoost\BoostTree.asv (1225, 2011-11-07)
Classifier\AdaBoost\BoostTree.m (1094, 2011-11-07)
Classifier\AdaBoost\demo_2c.asv (691, 2011-10-04)
Classifier\AdaBoost\demo_2c.m (801, 2011-10-04)
Classifier\AdaBoost\test_boosted_dt_mc.m (1460, 2011-10-04)
Classifier\AdaBoost\test_boosted_kde_2c.m (480, 2011-10-04)
Classifier\AdaBoost\train_boosted_dt_2c.m (3054, 2011-10-04)
Classifier\AdaBoost\train_boosted_dt_mc.m (5346, 2011-10-04)
Classifier\AdaBoost\train_boosted_dt_mc.m~ (5346, 2011-10-04)
Classifier\AdaBoost\train_boosted_kde_2c.m (4111, 2011-10-04)
Classifier\AdaBoost\train_boosted_stubs_mc.m (5345, 2011-10-04)
Classifier\AdaBoost\treevalc.cpp (3637, 2011-10-04)
Classifier\AdaBoost\treevalc.mexa64 (9303, 2011-10-04)
Classifier\AdaBoost\treevalc.mexglx (8922, 2011-10-04)
Classifier\AdaBoost\treevalc.mexw32 (20480, 2011-10-04)
Classifier\AdaBoost\tree_getNewVersion.m (184, 2011-10-04)
Classifier\AdaBoost\tree_getParameters.m (575, 2011-10-04)
Classifier\AdaBoost\weightedstats\ksdensityw.asv (5563, 2011-10-04)
Classifier\AdaBoost\weightedstats\ksdensityw.m (5570, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addbisa.m (6521, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addinvg.m (8904, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addlogi.m (12286, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addnaka.m (4398, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addrice.m (6577, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\addtls.m (6220, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfaddbuttons.m (6442, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfaddparamfit.m (7849, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfaddsmoothfit.m (3520, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfadjustlayout.m (2927, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfadjustmenu.m (4645, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfadjusttoolbar.m (1787, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfasksavesession.m (669, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfaxlimctrl.m (11374, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfbinwidthpreview.m (575, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfboundwarn.m (1465, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfcanplotdata.m (1003, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfcbkclear.m (524, 2011-10-04)
Classifier\AdaBoost\weightedstats\private\dfcheckselections.m (3832, 2011-10-04)
... ...

Code for boosted decision trees or boosted 1D kernel density estimates using Adaboost.L algorithm of M. Collins, R. Schapire, and Y. Singer. Logistic regression, Adaboost, and Bregman distances. Machine Learning, 48(1-3), 2002. train_boosted_dt_mc.m - train boosted decision trees (> 2 classes, 1 vs. all) train_boosted_dt_2c.m - train boosted decision trees (2 classes) test_boosted_dt_mc.m - evaluate features with bdt classfier (works for 2c also) Note: haven't used these in a while or documented lately train_boosted_kde_2c.m - train boosted kernel density estimates (2 classes) test_boosted_kde_2c.m - test boosted kernel density estimtes (2 classes) Use freely at your own risk. You may need to recompile treevalc.c (mcc -m treevalc.c) to use test_boosted_dt_mc. Alternatively, comment out the treevalc line and uncomment the treeval line of test_boosted_dt_mc to run matlab version (slower). Derek

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