登录
首页 » matlab » RF_MexStandalone-v0.02-precompiled

RF_MexStandalone-v0.02-precompiled

于 2019-06-05 发布
0 170
下载积分: 1 下载次数: 4

代码说明:

说明:  运用随机森林方法对数据进行建模,可以用模型进行预测与分类(Random forest prediction and classification)

文件列表:

RF_MexStandalone-v0.02-precompiled\randomforest-matlab\rf.m, 1165 , 2018-04-09
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_windows.m, 1718 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32, 20992 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32, 32256 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 46080 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\README.txt, 3255 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Version_History.txt, 1470 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\compile_windows.m, 915 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw32, 10752 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw64, 11264 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_train.mexw32, 25600 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_train.mexw64, 34304 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\README.txt, 2750 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2009-04-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2009-05-17
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9515 , 2018-04-09
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Version_History.txt, 384 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\README_Windows_binary.txt, 1200 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2010-02-06
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled\randomforest-matlab, 0 , 2018-06-25
RF_MexStandalone-v0.02-precompiled, 0 , 2018-06-25

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • zuisuxiajiangfa
    最速下降法的MATLAB源程序,不知道是否喜欢(Steepest descent method of the MATLAB source code, I do not know like it or not)
    2008-06-02 13:38:16下载
    积分:1
  • PreProcess
    a pre-processing box for standard Microarrays data set
    2010-03-02 03:13:17下载
    积分:1
  • adaptive--lbp
    说明:  自适应lbp算法,用MATLAB语言写。(Lbp adaptive algorithm, written by MATLAB language.)
    2011-03-25 20:39:38下载
    积分:1
  • Mathematical-Theory
    An Introduction to the Mathematical Theory of Inverse Problems (Andreas Kirsch)
    2012-04-30 11:51:48下载
    积分:1
  • LBG-chengxu
    这是LBG的matlab程序 写在Word里 里面有相应的程序实现目的 方法步骤 和思路(This is the LBG matlab program written in Word, there are appropriate procedures to achieve the purpose of the method steps and ideas)
    2014-11-04 09:50:13下载
    积分:1
  • doa
    本文件里面有几个基于MUSIC算法的DOA估计。可以帮助新手熟悉过程。(Based on this document, there are several MUSIC DOA estimation algorithm. You can help the novice familiar with the proces)
    2015-04-13 17:46:39下载
    积分:1
  • keystone
    PD雷达LFM波形相干积累中距离单元走动后应用keystone变换修正matlab源代码(PD radar LFM waveform coherent accumulation in the distance unit to move around keystone transform correction Matlab source code)
    2020-08-17 21:38:23下载
    积分:1
  • DE
    说明:  DIFFRENTIAL EVOLOTION ALGORITHM
    2012-05-25 04:03:52下载
    积分:1
  • Stiction
    Stiction建模Simulink model. 用于化工控制过程的测试。(Stiction model for performance assessment on process control)
    2020-12-10 21:59:18下载
    积分:1
  • ed
    说明:  能量检测算法,用于cr中的,对于学习能量检测的有借鉴作用(Energy detection algorithm for the cr)
    2011-09-17 10:42:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载