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文件名称:ensemb-learning

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  • 上传时间:
    2016-11-09
  • 文件大小:
    435.99kb
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    1次
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介绍说明--下载内容来自于网络,使用问题请自行百度

处理非平衡问题的集成方法,基于随机森林的集成学习-Ensemble learning method,which is based on the random forest classifier, to deal with data imbalance problem
(系统自动生成,下载前可以参看下载内容)

下载文件列表

randomforest-matlab/
randomforest-matlab/RF_Class_C/
randomforest-matlab/RF_Class_C/classRF_predict.m
randomforest-matlab/RF_Class_C/classRF_train.m
randomforest-matlab/RF_Class_C/Compile_Check
randomforest-matlab/RF_Class_C/compile_linux.m
randomforest-matlab/RF_Class_C/compile_windows.m
randomforest-matlab/RF_Class_C/data/
randomforest-matlab/RF_Class_C/data/twonorm.mat
randomforest-matlab/RF_Class_C/data/X_twonorm.txt
randomforest-matlab/RF_Class_C/data/Y_twonorm.txt
randomforest-matlab/RF_Class_C/Makefile
randomforest-matlab/RF_Class_C/Makefile.windows
randomforest-matlab/RF_Class_C/mexClassRF_predict.mexw32
randomforest-matlab/RF_Class_C/mexClassRF_predict.mexw64
randomforest-matlab/RF_Class_C/mexClassRF_train.mexw32
randomforest-matlab/RF_Class_C/mexClassRF_train.mexw64
randomforest-matlab/RF_Class_C/precompiled_rfsub/
randomforest-matlab/RF_Class_C/precompiled_rfsub/linux64/
randomforest-matlab/RF_Class_C/precompiled_rfsub/win32/
randomforest-matlab/RF_Class_C/precompiled_rfsub/win32/rfsub.o
randomforest-matlab/RF_Class_C/precompiled_rfsub/win64/
randomforest-matlab/RF_Class_C/precompiled_rfsub/win64/rfsub.o
randomforest-matlab/RF_Class_C/README.txt
randomforest-matlab/RF_Class_C/rfsub.o
randomforest-matlab/RF_Class_C/src/
randomforest-matlab/RF_Class_C/src/classRF.cpp
randomforest-matlab/RF_Class_C/src/classTree.cpp
randomforest-matlab/RF_Class_C/src/cokus.cpp
randomforest-matlab/RF_Class_C/src/cokus_test.cpp
randomforest-matlab/RF_Class_C/src/mex_ClassificationRF_predict.cpp
randomforest-matlab/RF_Class_C/src/mex_ClassificationRF_train.cpp
randomforest-matlab/RF_Class_C/src/qsort.c
randomforest-matlab/RF_Class_C/src/rf.h
randomforest-matlab/RF_Class_C/src/rfsub.f
randomforest-matlab/RF_Class_C/src/rfutils.cpp
randomforest-matlab/RF_Class_C/src/twonorm_C_wrapper.cpp
randomforest-matlab/RF_Class_C/tempbuild/
randomforest-matlab/RF_Class_C/test_ClassRF_extensively.m
randomforest-matlab/RF_Class_C/tutorial_ClassRF.m
randomforest-matlab/RF_Class_C/twonorm_C_devcpp.dev
randomforest-matlab/RF_Class_C/Version_History.txt
randomforest-matlab/RF_Reg_C/
randomforest-matlab/RF_Reg_C/Compile_Check_kcachegrind
randomforest-matlab/RF_Reg_C/Compile_Check_memcheck
randomforest-matlab/RF_Reg_C/compile_linux.m
randomforest-matlab/RF_Reg_C/compile_windows.m
randomforest-matlab/RF_Reg_C/data/
randomforest-matlab/RF_Reg_C/data/diabetes.mat
randomforest-matlab/RF_Reg_C/data/X_diabetes.txt
randomforest-matlab/RF_Reg_C/data/Y_diabetes.txt
randomforest-matlab/RF_Reg_C/diabetes_C_devc.dev
randomforest-matlab/RF_Reg_C/Makefile
randomforest-matlab/RF_Reg_C/mexRF_predict.mexw32
randomforest-matlab/RF_Reg_C/mexRF_predict.mexw64
randomforest-matlab/RF_Reg_C/mexRF_train.mexw32
randomforest-matlab/RF_Reg_C/mexRF_train.mexw64
randomforest-matlab/RF_Reg_C/README.txt
randomforest-matlab/RF_Reg_C/regRF_predict.m
randomforest-matlab/RF_Reg_C/regRF_train.m
randomforest-matlab/RF_Reg_C/src/
randomforest-matlab/RF_Reg_C/src/cokus.cpp
randomforest-matlab/RF_Reg_C/src/cokus_test.cpp
randomforest-matlab/RF_Reg_C/src/diabetes_C_wrapper.cpp
randomforest-matlab/RF_Reg_C/src/mex_regressionRF_predict.cpp
randomforest-matlab/RF_Reg_C/src/mex_regressionRF_train.cpp
randomforest-matlab/RF_Reg_C/src/qsort.c
randomforest-matlab/RF_Reg_C/src/reg_RF.cpp
randomforest-matlab/RF_Reg_C/src/reg_RF.h
randomforest-matlab/RF_Reg_C/tempbuild/
randomforest-matlab/RF_Reg_C/test_RegRF_extensively.m
randomforest-matlab/RF_Reg_C/tutorial_RegRF.m
randomforest-matlab/RF_Reg_C/Version_History.txt

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