The package includes the MATLAB code of the multi-instance multi-label learning algorithm MIMLwel, which solves the multi-instance multi-label problem under weak label assumption

mimlwel\readme.txt
.......\code\call_mimlwel.m
.......\....\dist.m
.......\....\GMIL_Hausdorff.m
.......\....\gradient_bag1_bag2.m
.......\....\gradient_bags.m
.......\....\grad_L1.m
.......\....\grad_L2.m
.......\....\MIML_cluster.m
.......\....\MIML_initial_train.m
.......\....\my_sub_C.m
.......\....\my_test.m
.......\....\question_Q.m
.......\....\subgradient.m
.......\....\train_fixc.m
.......\....\train_grad.m
.......\....\transfer_index.m
.......\....\auxiliary\Hamming_loss.m
.......\....\.........\PRF1.m
.......\....\.........\slparseprops.m
.......\example\demo_image.m
.......\.......\demo_text.m
.......\.......\text-40-result.mat
.......\.......\auxiliary\Hamming_loss.m
.......\.......\.........\PRF1.m
.......\.......\.........\slparseprops.m
.......\.......\data\image-40.mat
.......\.......\....\text-40.mat
.......\code\auxiliary
.......\example\auxiliary
.......\.......\data
.......\code
.......\example
mimlwel

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