MATLAB code for paper Learning compact model for large-scale multi-label data
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 optimization and feature parameter optimization[1].
You will find an example of using this code in script 'example.m'.
Please cite this paper when using this code for your research.
@inproceedings{DBLP:conf/aaai/WeiL19,
author = {Tong Wei and
Yu{-}Feng Li},
title = {Learning Compact Model for Large-Scale Multi-Label Data},
booktitle = {The 33rd AAAI Conference on Artificial Intelligence},
pages = {5385--5392},
address = {Honolulu, HI},
year = {2019}
}
Dependencies:
- liblinear
For any problem concerning the code, please feel free to contact Tong Wei at weit@lamda.nju.edu.cn
Last updated on Nov. 21, 2018.