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LMLL-POP

Description: The package includes the MATLAB code of the POP algorithm which towards learning compact models for large-scale multi-label learning data with jointly label parameter optimisation and feature parameter optimisation[1].

References:
[1] Tong Wei, Yu-Feng Li. Learning compact model for large-scale multi-label data. The 33rd AAAI Conference on Artificial Intelligence, 2019 (AAAI’19).

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

Requirement: The package was developed with MATLAB.

Dependencies: liblinear.

ATTN2: This package was developed by Mr. Tong Wei (weit@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 Mr. Li or Mr. Wei.

Download: [code&data] (3.04MB)
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