Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization

Tianxin Zong, Na Li, Zhigang Zhang

DOI: 10.1155/2022/2891463
Published: 2022
Container: Journal of Electrical and Computer Engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2891463,
  title = {Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization},
  author = {Tianxin Zong and Na Li and Zhigang Zhang},
  year = {2022},
  journal = {Journal of Electrical and Computer Engineering},
  doi = {10.1155/2022/2891463},
  url = {https://doi.org/10.1155/2022/2891463}
}

RIS

TY  - JOUR
TI  - Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization
AU  - Tianxin Zong
AU  - Na Li
AU  - Zhigang Zhang
PY  - 2022
JO  - Journal of Electrical and Computer Engineering
DO  - 10.1155/2022/2891463
UR  - https://doi.org/10.1155/2022/2891463
ER  -

APA

Zong, T., Li, N., & Zhang, Z. (2022). Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization. Journal of Electrical and Computer Engineering. https://doi.org/10.1155/2022/2891463

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doaj · retrieved 2026-09-26T01:01:09.433Z