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MuENL

Description: MuENL is a package for Multi-Label Learning with Emerging New Labels, which is designed to detect and model emerging new labels in a multi-label data stream. This package includes the MATLAB implementation of MuENL and MuENLHD.

Reference: Y. Zhu, K. M. Ting, and Z.-H. Zhou. Multi-label learning with emerging new labels. IEEE Transactions on Knowledge and Data Engineering, 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.

ATTN2: This package was developed by Yue Zhu. For any problem concerning the code, please feel free to contact Yue Zhu.

Download: code (1.52Mb)
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