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MIML

Description: This page provides a collection of MATLAB codes of different MIML related algorithms, including: MIMLBoost, MIMLSVM, MIMLSVMmi, MIMLNN, D-MIMLSVM, InsDif and SubCod. For each algorithm, there is a readme file with a simple example to show how to use it.

References:

• Z.-H. Zhou, M.-L. Zhang, S.-J. Huang and Y.-F. Li. Multi-instance multi-label learning. Artificial Intelligence, in press.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: The package was developed with MATLAB (version 7.6).

ATTN2: This package was co-developed by Dr. Min-Ling Zhang (zhangml@lamda.nju.edu.cn), Mr. Sheng-Jun Huang (huangsj@lamda.nju.edu.cn) and Mr. Yu-Feng Li (liyf@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact anyone of them.

Download:

MIMLBoost and MIMLSVM
MIMLSVMmi (675KB)
MIMLNN (602KB)
D-MIMLSVM (10515KB)
• InsDif (3 versions): [InsDif] [InsDif_MIMLSVM] (1310KB) [InsDif_MIMLSVMmi] (1390KB)
SubCod (520KB) (includes 3 versions: SubCod, SubCod_MIMLNN and SubCod_MIMLSVMmi)
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