Xiang Xie, Wilhelm Stork. Watermelon: a Novel Feature Selection Method Based on Bayes Error Rate Estimation and a New Interpretation of Feature Relevance and Redundancy. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021. pages 1360-1367, IEEE, 2020. [doi]
@inproceedings{XieS20-6,
title = {Watermelon: a Novel Feature Selection Method Based on Bayes Error Rate Estimation and a New Interpretation of Feature Relevance and Redundancy},
author = {Xiang Xie and Wilhelm Stork},
year = {2020},
doi = {10.1109/ICPR48806.2021.9413262},
url = {https://doi.org/10.1109/ICPR48806.2021.9413262},
researchr = {https://researchr.org/publication/XieS20-6},
cites = {0},
citedby = {0},
pages = {1360-1367},
booktitle = {25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021},
publisher = {IEEE},
isbn = {978-1-7281-8808-9},
}