Skip to content

yk-ren/ResTL

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ResTL:

Python implementation of Transfer Learning Under Conditional Shift Based on Fuzzy Residual for regression transfer.

Getting Started

Package

  • skfuzzy is necessary for fuzzy parition
pip install scikit-fuzzy

Demon

  • demon_curve.py is the curve demon. Given the source model and few targe data, the predicted target model ResTL(LS) and ResTL(RD) will be given.
  • demon_live.py is a live demon, you can select any number of target data with mouse.
  • demon_dataset.py is the demon for Kin dataset

Citation

If you use this code for your research, please cite our papers.

@inproceedings{
    title={ Transfer Learning Under Conditional Shift Based on Fuzzy Residual},
    author={G. Chen, Y. Li, X. Liu},
    booktitle={IEEE Transactions on Cybernetics},
    year={2019},
    url={(https://ieeexplore.ieee.org/document/9097377},
}

Thanks

Thanks for the codes of TSK-FS, from Peng Xu and YuqiCui

About

Transfer leanring based on fuzzy residual

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Python 100.0%