Description: The package includes the MATLAB implementation of the SF2EL approach [1], which is able to tackle the feature evolution problem when there are rare labels given and fits its behavior to different storage budgets.
Reference:
[1] Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, and Zhi-Hua Zhou. Storage Fit Learning with Feature Evolvable Streams. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), online, 2021.
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.
ATTN2: This package was developed by
Bo-Jian Hou and
Yu-Hu Yan. For any problem concerning the code, please feel free to contact Mr. Hou.
Requirement: This package is developed with MATLAB 2019a.
Download: [
code] (6.4MB)