CDS&E: Advancing Nonparametric Methods and Uncertainty Quantification in Modern Machine Learning Paradigms
- DOI
- 10.48321/d1247bf6d9
- Published
- 2025
- Container
- Not recorded
- Publisher
- DMPTool
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48321/d1247bf6d9,
title = {CDS\&E: Advancing Nonparametric Methods and Uncertainty Quantification in Modern Machine Learning Paradigms},
author = {Shang, Zuofeng},
year = {2025},
doi = {10.48321/d1247bf6d9},
url = {https://doi.org/10.48321/d1247bf6d9}
}RIS
TY - JOUR TI - CDS&E: Advancing Nonparametric Methods and Uncertainty Quantification in Modern Machine Learning Paradigms AU - Shang, Zuofeng PY - 2025 DO - 10.48321/d1247bf6d9 UR - https://doi.org/10.48321/d1247bf6d9 ER -
APA
Zuofeng, S. (2025). CDS&E: Advancing Nonparametric Methods and Uncertainty Quantification in Modern Machine Learning Paradigms. https://doi.org/10.48321/d1247bf6d9
Source records
- datacite · retrieved 2026-09-26T16:22:48.504Z