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Paper of ACML 2020: "PSForest: Improving Deep Forest via Feature Pooling and Error Screening"

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## PSForest: a new variant of the deep forest

The code for the paper ["PSForest: Improving Deep Forest via Feature Pooling and Error Screening"](http://proceedings.mlr.press/v129/ni20a/ni20a.pdf)
<img width="1153" alt="image" src="https://user-images.githubusercontent.com/56249874/132013941-f5e33c40-68b0-456b-9125-c01c24398021.png">

## Citation
```
@inproceedings{ni2020psforest,
  title={PSForest: Improving Deep Forest via Feature Pooling and Error Screening},
  author={Ni, Shiwen and Kao, Hung-Yu},
  booktitle={Asian Conference on Machine Learning},
  pages={769--781},
  year={2020},
  organization={PMLR}
}
```
## Requirements
```
xgboost
sklearn
numpy
pandas
memory_profiler
scipy
```
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