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BPMLL

Description: BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously.

References:  

• M.-L. Zhang and Z.-H. Zhou. Multilabel neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(10): 1338-1351.

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.

ATTN2:       This package was developed by Mr. Min-Ling Zhang (zhangml@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Zhang.

Download:   [code] (7.34Kb)