Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning
- DOI
- 10.1038/s41524-026-02157-z
- Published
- 2026-05-29
- Container
- npj Computational Materials
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41524-026-02157-z,
title = {Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning},
author = {Zishuo Lan and Yiming Chen and Xiaobing Hu and Junjie Li and Dezhen Xue and Jincheng Wang},
year = {2026},
journal = {npj Computational Materials},
doi = {10.1038/s41524-026-02157-z},
url = {https://doi.org/10.1038/s41524-026-02157-z}
}RIS
TY - JOUR TI - Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning AU - Zishuo Lan AU - Yiming Chen AU - Xiaobing Hu AU - Junjie Li AU - Dezhen Xue AU - Jincheng Wang PY - 2026 JO - npj Computational Materials DO - 10.1038/s41524-026-02157-z UR - https://doi.org/10.1038/s41524-026-02157-z ER -
APA
Lan, Z., Chen, Y., Hu, X., Li, J., Xue, D., & Wang, J. (2026). Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning. npj Computational Materials. https://doi.org/10.1038/s41524-026-02157-z
Source records
- crossref · retrieved 2026-11-10T17:59:27.451Z