机器学习中的多示例包层次SVM分类算法.rar

[{"title":"（ 47 个子文件 648KB ） 机器学习中的多示例包层次SVM分类算法.rar","children":[{"title":"KI-SVM","children":[{"title":"Bag KI-SVM","children":[{"title":"Bag_KI_SVM.m <span style='color:#111;'> 7.72KB </span>","children":null,"spread":false},{"title":"Readme.htm <span style='color:#111;'> 6.56KB </span>","children":null,"spread":false},{"title":"Bag_KISVM_prediction.m <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"genIndex.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"Find_y_linear.m <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"Find_y.m <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"normalization_gaussian.m <span style='color:#111;'> 1012B </span>","children":null,"spread":false},{"title":"Max_Violated_y_set.m <span style='color:#111;'> 900B </span>","children":null,"spread":false},{"title":"celltomatrix.m <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false}],"spread":true},{"title":"experiments_KISVM_musk1.m <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"experiments.m <span style='color:#111;'> 17.48KB </span>","children":null,"spread":false},{"title":"libsvm-mat-2.88-MI-svm","children":[{"title":"svmtrain.c.bak <span style='color:#111;'> 11.75KB </span>","children":null,"spread":false},{"title":"svm_model_matlab.obj <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false},{"title":"make.m <span style='color:#111;'> 730B </span>","children":null,"spread":false},{"title":"svmpredict.mexw64 <span style='color:#111;'> 23.50KB </span>","children":null,"spread":false},{"title":"svm.h.bak <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false},{"title":"svmtrain.c <span style='color:#111;'> 12.39KB </span>","children":null,"spread":false},{"title":"svmpredict.c <span style='color:#111;'> 8.29KB </span>","children":null,"spread":false},{"title":"read_sparse.c <span style='color:#111;'> 3.74KB </span>","children":null,"spread":false},{"title":"svm_model_matlab.h <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"heart_scale.mat <span style='color:#111;'> 28.23KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 8.10KB </span>","children":null,"spread":false},{"title":"svm.obj <span style='color:#111;'> 97.75KB </span>","children":null,"spread":false},{"title":"svm.h <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"svm.cpp.bak <span style='color:#111;'> 75.92KB </span>","children":null,"spread":false},{"title":"svmpredict.mexw32 <span style='color:#111;'> 20.00KB </span>","children":null,"spread":false},{"title":"doc.txt <span style='color:#111;'> 471B </span>","children":null,"spread":false},{"title":"make.asv <span style='color:#111;'> 379B </span>","children":null,"spread":false},{"title":"COPYRIGHT <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"svm_model_matlab.c <span style='color:#111;'> 7.91KB </span>","children":null,"spread":false},{"title":"svm_model_matlab.c.bak <span style='color:#111;'> 7.92KB </span>","children":null,"spread":false},{"title":"svmtrain.mexw32 <span style='color:#111;'> 53.50KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"read_sparse.mexw32 <span style='color:#111;'> 8.50KB </span>","children":null,"spread":false},{"title":"svmtrain.mexw64 <span style='color:#111;'> 69.00KB </span>","children":null,"spread":false},{"title":"svm.cpp <span style='color:#111;'> 85.56KB </span>","children":null,"spread":false},{"title":"read_sparse.mexw64 <span style='color:#111;'> 11.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"normedmusk1.mat <span style='color:#111;'> 434.21KB </span>","children":null,"spread":false},{"title":"Instance KI-SVM","children":[{"title":"Readme.htm <span style='color:#111;'> 6.57KB </span>","children":null,"spread":false},{"title":"genIndex.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"Find_y_linear.m <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"Find_y.m <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false},{"title":"normalization_gaussian.m <span style='color:#111;'> 1012B </span>","children":null,"spread":false},{"title":"Max_Violated_y_set.m <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false},{"title":"celltomatrix.m <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"Inst_KI_SVM.m <span style='color:#111;'> 6.34KB </span>","children":null,"spread":false},{"title":"Inst_KISVM_prediction.m <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]