网站ip地址范围,建个企业营销型网站,优惠做网站,优秀的定制网站建设提供商文件名称: 20170106RF_Matlab下载 收藏√ [5 4 3 2 1 ]开发工具: matlab文件大小: 441 KB上传时间: 2017-01-06下载次数: 0提 供 者: yanxiu详细说明#xff1a;随机森林指的是利用多棵树对样本进行训练并预测的一种分类器#xff0c;包括两个方面#xff1a;数据的随…文件名称: 20170106RF_Matlab下载 收藏√ [ 5 4 3 2 1 ]开发工具: matlab文件大小: 441 KB上传时间: 2017-01-06下载次数: 0提 供 者: yanxiu详细说明随机森林指的是利用多棵树对样本进行训练并预测的一种分类器包括两个方面数据的随机性选取以及待选特征的随机选取。-Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of random selection.文件列表(点击判断是否您需要的文件如果是垃圾请在下面评价投诉):20170106RF_Matlab.................\README_Windows_binary.txt.................\randomforest-matlab.................\...................\RF_Class_C.................\...................\..........\Compile_Check.................\...................\..........\Makefile.................\...................\..........\Makefile.windows.................\...................\..........\README.txt.................\...................\..........\Version_History.txt.................\...................\..........\classRF_predict.m.................\...................\..........\classRF_train.m.................\...................\..........\compile_linux.m.................\...................\..........\compile_windows.m.................\...................\..........\data.................\...................\..........\....\X_twonorm.txt.................\...................\..........\....\Y_twonorm.txt.................\...................\..........\....\twonorm.mat.................\...................\..........\mexClassRF_predict.mexw32.................\...................\..........\mexClassRF_predict.mexw64.................\...................\..........\mexClassRF_train.mexw32.................\...................\..........\mexClassRF_train.mexw64.................\...................\..........\precompiled_rfsub.................\...................\..........\.................\linux64.................\...................\..........\.................\win32.................\...................\..........\.................\.....\rfsub.o.................\...................\..........\.................\win64.................\...................\..........\.................\.....\rfsub.o.................\...................\..........\rfsub.o.................\...................\..........\src.................\...................\..........\...\classRF.cpp.................\...................\..........\...\classTree.cpp.................\...................\..........\...\cokus.cpp.................\...................\..........\...\cokus_test.cpp.................\...................\..........\...\mex_ClassificationRF_predict.cpp.................\...................\..........\...\mex_ClassificationRF_train.cpp.................\...................\..........\...\qsort.c.................\...................\..........\...\rf.h.................\...................\..........\...\rfsub.f.................\...................\..........\...\rfutils.cpp.................\...................\..........\...\twonorm_C_wrapper.cpp.................\...................\..........\tempbuild.................\...................\..........\test_ClassRF_extensively.m.................\...................\..........\tutorial_ClassRF.m.................\...................\..........\twonorm_C_devcpp.dev.................\...................\RF_Reg_C.................\...................\........\Compile_Check_kcachegrind.................\...................\........\Compile_Check_memcheck.................\...................\........\Makefile.................\...................\........\README.txt.................\...................\........\Version_History.txt.................\...................\........\compile_linux.m.................\...................\........\compile_windows.m.................\...................\........\data.................\...................\........\....\X_diabetes.txt.................\...................\........\....\Y_diabetes.txt.................\...................\........\....\diabetes.mat.................\...................\........\diabetes_C_devc.dev.................\...................\........\mexRF_predict.mexw32.................\...................\........\mexRF_predict.mexw64.................\...................\........\mexRF_train.mexw32.................\...................\........\mexRF_train.mexw64.................\...................\........\regRF_predict.m.................\...................\........\regRF_train.m.................\...................\........\src.................\...................\........\...\cokus.cpp.................\...................\........\...\cokus_test.cpp.................\...................\........\...\diabetes_C_wrapper.cpp.................\...................\........\...\mex_regressionRF_predict.cpp.................\...................\........\...\mex_regressionRF_train.cpp.................\...................\........\...\qsort.c.................\...................\........\...\reg_RF.cpp.................\...................\........\...\reg_RF.h.................\...................\........\tempbuild.................\...................\........\test_RegRF_extensively.m.................\...................\........\tutorial_RegRF.m输入关键字在本站269万海量源码库中尽情搜索帮助
