文件名称:ENtool
介绍说明－－下载内容均来自于网络，请自行研究使用
the toolbox contains a good functions for ensemble learning.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ENtool\ctool\@adaboost\adaboost.m
......\.....\.........\calc.m
......\.....\.........\display.m
......\.....\.........\get.m
......\.....\.........\private\calc_output.m
......\.....\.........\.......\Classify.m
......\.....\.........\.......\do_learn_nu.m
......\.....\.........\.......\GentleAdaBoost.m
......\.....\.........\.......\get_dim_and_tr.m
......\.....\.........\.......\ModestAdaBoost.m
......\.....\.........\.......\RealAdaBoost.m
......\.....\.........\.......\train.m
......\.....\.........\.......\train_n.m
......\.....\.........\.......\tree_node_w.m
......\.....\.........\set.m
......\.....\.........\train.m
......\.....\.boostensemble\boostensemble.m
......\.....\..............\display.m
......\.....\..............\get.m
......\.....\..............\set.m
......\.....\..............\train.m
......\.....\.classifierensemble\classifierensemble.m
......\.....\...................\Contents.m
......\.....\...................\display.m
......\.....\...................\get.m
......\.....\...................\set.m
......\.....\...................\train.m
......\.....\..vtree\calc.m
......\.....\.......\cvtree.m
......\.....\.......\display.m
......\.....\.......\get.m
......\.....\.......\private\grp2idx.m
......\.....\.......\.......\statgetargs.m
......\.....\.......\.......\treefit.m
......\.....\.......\.......\treeprune.m
......\.....\.......\.......\treetest.m
......\.....\.......\.......\treeval.m
......\.....\.......\set.m
......\.....\.......\train.m
......\.....\.dtree\calc.m
......\.....\......\display.m
......\.....\......\dtree.m
......\.....\......\get.m
......\.....\......\private\grp2idx.m
......\.....\......\.......\statgetargs.m
......\.....\......\.......\treefit.m
......\.....\......\.......\treeprune.m
......\.....\......\.......\treetest.m
......\.....\......\.......\treeval.m
......\.....\......\set.m
......\.....\......\train.m
......\.....\.ensemble\addmodel.m
......\.....\.........\calc.m
......\.....\.........\compute_scalefactors.m
......\.....\.........\display.m
......\.....\.........\ensemble.m
......\.....\.........\get.m
......\.....\.........\normweights.m
......\.....\.........\set.m
......\.....\.flda\calc.m
......\.....\.....\display.m
......\.....\.....\flda.m
......\.....\.....\get.m
......\.....\.....\set.m
......\.....\.....\train.m
......\.....\.gmm\calc.m
......\.....\....\display.m
......\.....\....\get.m
......\.....\....\gmm.m
......\.....\....\private\bayes_struct.txt
......\.....\....\.......\cmvnpdf.m
......\.....\....\.......\Contents.m
......\.....\....\.......\covfixer2.m
......\.....\....\.......\covrot.m
......\.....\....\.......\getargs.m
......\.....\....\.......\gmmb.m
......\.....\....\.......\gmmbvl_demo1d.m
......\.....\....\.......\gmmbvl_demo2d.m
......\.....\....\.......\gmmbvl_ellipse.m
......\.....\....\.......\gmmbvl_em.m
......\.....\....\.......\gmmbvl_em_gauss.m
......\.....\....\.......\gmmbvl_em_init_km.m
......\.....\....\.......\gmmbvl_em_step.m
......\.....\....\.......\gmmbvl_em_step_partial.m
......\.....\....\.......\gmmbvl_kmeans.m
......\.....\....\.......\gmmbvl_mixgen.m
......\.....\....\.......\gmmbvl_plot2.m
......\.....\....\.......\gmmbvl_rand_split.m
......\.....\....\.......\gmmbvl_sqdist.m
......\.....\....\.......\gmmb_classify.m
......\.....\....\.......\gmmb_cmeans.m
......\.....\....\.......\gmmb_cmvnpdf.m
......\.....\....\.......\gmmb_covfixer.m
......\.....\....\.......\gmmb_create.m
......\.....\....\.......\gmmb_decide.m
......\.....\....\.......\gmmb_demo01.m
......\.....\....\.......\gmmb_em.m
......\.....\....\.......\gmmb_em_init_cmeans1.m
......\.....\....\.......\gmmb_em_init_cmeans2.m
......\.....\....\.......\gmmb_em_init_fcm1.m