MAHR is a package for multi-label hypothesis reuse. MAHR exploit label relationship by reusing hypothesis across labels. The package includes the MATLAB code of the MAHR algorithm.
S.-J. Huang, Y. Yu, and Z.-H. Zhou. Multi-label hypothesis reuse. In: Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, 2012.
This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (email@example.com).
To use this package, the WEKA environment must be available. Refer: I.H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco, CA, 2000.
This package was developed by Mr. Sheng-Jun Huang (firstname.lastname@example.org). For any problem concerning the code, please feel free to contact Mr. Huang.