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07 决策树与随机森林

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说明：  决策树和随机森林算法教程、源代码事例，已经关于决策树和随机森林算法的衍生混合算法代码(Tutorials on decision trees and random forest algorithms, source code examples, and derived hybrid algorithm codes on decision trees and random forest algorithms)

文件列表：

07 决策树与随机森林, 0 , 2018-03-31
07 决策树与随机森林\Class_07.pptx, 292096 , 2018-03-27
07 决策树与随机森林\Class_07_Code, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\DecisionTrees, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\DecisionTrees\data.mat, 86267 , 2009-11-29
07 决策树与随机森林\Class_07_Code\DecisionTrees\main.m, 2721 , 2015-10-17
07 决策树与随机森林\Class_07_Code\RandomForest, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\data.mat, 86267 , 2009-11-29
07 决策树与随机森林\Class_07_Code\RandomForest\main.m, 2637 , 2017-08-12
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\README.txt, 3128 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\data, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2017-10-19
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 43520 , 2017-10-19
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2020-03-04
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2020-03-04
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\Version_History.txt, 253 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\data, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src, 0 , 2018-03-31
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2009-04-25
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2020-03-04
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2009-05-17
07 决策树与随机森林\Class_07_Code\RandomForest\randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9505 , 2009-05-17

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    GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)
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