资 源 简 介
内含有大量多标签多类别分类算法和对应的代码，包括MIML_LPT,MIMLBoost,MIMLSVM,MIMLfast,KISAR,MIMLKNN,MLKNN,DMIMLSVM,MIMLMISVM等等，部分代码含有对应的文献，学习多类标分类的好资源。
文 件 列 表
DMIMLSVM.rar
KISAR
KISAR
KISAR.rar
Towards discovering what patterns trigger what labels.pdf
MIMLBoost and MIMLSVM
MIMLBoost and MIMLSVM.rar
MIMLBoost&MIMLSVM
Multi-instance multi-label learning with application to scene classification.pdf
MIMLfast
auxiliary
Cal500_bag.mat
Dnorm2
DNorm2.c
DNorm2.m
DNorm2.mexw64
emotions_bag.mat
example.m
example_data.mat
MIMLfast.m
MIML_test.m
MIML_train.m
MSE_ML_test1.m
my_MIMLfast.m
readme.txt
sample_max1_small.mexw64
scene.mat
test_1.m
MIMLmiSVM.rar
MIMLNN
Auxiliary
MIMLNN.m
Parameter Configuration.txt
readme.m
sample_data.mat
MIML_LPT
auxiliary
Cal500.mat
Corel5k.mat
emotions_bag.mat
example_data.mat
LLPT.m
MIML_LLPT.m
myRMS.m
my_RMSE.m
scene.mat
MLkNN
Average_precision.m
Cal500_bag.mat
coverage.m
emotions.mat
emotions_bag.mat
example_data.mat
Hamming_loss.m
ML-kNN_ A lazy learning approach to multi-label learning
MLKNN_demo.m
MLKNN_test.m
MLKNN_train.m
One_error.m
Ranking_loss.m
scene.mat
test_MLKNN.m
