MissSVM package solution is to use multi-instance semi-supervised support vector machine learning problems. MissSVM aim is to show, assuming IID instance, multi-instance learning can be used as a semi-supervised learning of special circumstances, may be combined into a semi-field and multi-instance learning areas supervised learning. Therefore, future research should be multi-instance learning only assume IID bags, to avoid instances of IID assumption.

libsvm-mat-2.83-1\COPYRIGHT
.................\heart_scale.mat
.................\make.m
.................\Makefile
.................\README
.................\read_sparse.c
.................\read_sparse.mexw32
.................\read_sparse.mexw64
.................\svm.cpp
.................\svm.h
.................\svmpredict.c
.................\svmpredict.mexw32
.................\svmpredict.mexw64
.................\svmtrain.c
.................\svmtrain.mexw32
.................\svmtrain.mexw64
.................\svm_model_matlab.c
.................\svm_model_matlab.h
........eans3vm\COPYRIGHT
...............\heart_scale.mat
...............\make.m
...............\Makefile
...............\README
...............\read_sparse.c
...............\read_sparse.dll
...............\read_sparse.ilk
...............\read_sparse.mexw32
...............\read_sparse.mexw64
...............\svm.cpp
...............\svm.h
...............\svm.obj
...............\svmpredict.c
...............\svmpredict.dll
...............\svmpredict.ilk
...............\svmpredict.mexw32
...............\svmpredict.mexw64
...............\svmtrain.c
...............\svmtrain.dll
...............\svmtrain.ilk
...............\svmtrain.mexw32
...............\svmtrain.mexw64
...............\svm_model_matlab.c
...............\svm_model_matlab.h
...............\svm_model_matlab.obj
means3vm_iter\means3vm_iter.m
.........mkl\means3vm_mkl.m
............\.kl\cal_kernel_set.m
............\...\costsvmclass_s3vm.m
............\...\gradsvmclass.m
............\...\mkl.m
............\...\mklsvmupdate_s3vm.m
............\...\mklsvm_s3vm.m
............\...\most_violated_y_new.m
............\...\prediction.m
............\...\sumKbeta.m
............\...\svmclass_s3vm.m
demo.m
house.mat
means3vm_mkl\mkl
libsvm-mat-2.83-1
libsvm-means3vm
means3vm_iter
means3vm_mkl

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