Description:
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.
Reference:
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.
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:
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.
ATTN2:
This package was developed by Mr. Sheng-Jun Huang (huangsj@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Huang.
Download:
code (3.74KB)