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

RF_MexStandalone-v0.02-precompiled

于 2019-06-05 发布
0 140
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

  • CBCS2012
    BCS signal and BCS signal
    2013-03-25 05:25:36下载
    积分:1
  • ads
    有渐变雪花效果的渐变广告条。使用divText.filters过滤器来实现。(Snow has the effect of gradual gradient banner ads. Use filters to realize divText.filters.)
    2007-10-08 12:29:57下载
    积分:1
  • QAM16_simulink
    In this simulink model , 16-QAM modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The signal transmitted is recovered at the detector output.
    2009-12-19 00:30:38下载
    积分:1
  • bin
    802.11a通信协议仿真matlab程序,其中有些子函数已经有大神上传过了。(802.11a protocol simulation matlab procedures, some of which subroutine has uploaded a great God)
    2015-04-04 16:16:57下载
    积分:1
  • dpsk
    该程序完成了一个DPSK通信系统的仿真,用均匀随机数发生器产生01比特对,用差分编码将每2比特符号映射到4种信号点中之一个,绘制出了DPSK的误码率。( This procedure has completed a DPSK communications system s simulation, produces 01 bit right with the even random number generator, maps with the differential coding every 2 bits marks to of 4 kind of signal locations, drew up the DPSK error rate. )
    2010-07-16 19:25:42下载
    积分:1
  • Robotics
    Keywords: colahi, virtual reality (Simulate 3-bar robotic arms with Virtual Reality toolbox)
    2009-05-14 04:51:45下载
    积分:1
  • loadrinexob
    说明:  RINEX 2.1 观测数据文件读取程序(RINEX 2.1 data file read process observed)
    2011-04-06 10:07:11下载
    积分:1
  • matlab_ipt_tutorial
    The purpose of this tutorial is to gain familiarity with MATLAB’s Image Processing Toolbox. This tutorial does not contain all of the functions available in MATLAB. It is very useful to go to HelpMATLAB Help in the MATLAB window if you have any questions not answered by this tutorial. Many of the examples in this tutorial are modified versions of MATLAB’s help examples. The help tool is especially useful in image processing applications, since there are numerous filter examples.
    2014-01-30 13:49:53下载
    积分:1
  • MH-LEACH
    A Distributed algorithm for Multi-hop Communication in WSN
    2015-05-17 13:21:14下载
    积分:1
  • myWork1
    此代码为维纳滤波恢复模糊图像matlab代码,基于matlab Demo改编,注释较详细,适合初学者学习维纳滤波使用(the code is designed for recovering image by Weiner filter,it is benefitial for new user of matlab or new student for Weiner filter)
    2013-01-11 21:40:38下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载