Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.

Wang T, Dobriban E, Gataric M, Samworth RJ

Open source

DOI
10.1080/01621459.2024.2340792
Published
2025
Container
Journal of the American Statistical Association
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1080/01621459.2024.2340792,
  title = {Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.},
  author = {Wang T and Dobriban E and Gataric M and Samworth RJ},
  year = {2025},
  journal = {Journal of the American Statistical Association},
  doi = {10.1080/01621459.2024.2340792},
  url = {https://doi.org/10.1080/01621459.2024.2340792}
}

RIS

TY  - JOUR
TI  - Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.
AU  - Wang T
AU  - Dobriban E
AU  - Gataric M
AU  - Samworth RJ
PY  - 2025
JO  - Journal of the American Statistical Association
DO  - 10.1080/01621459.2024.2340792
UR  - https://doi.org/10.1080/01621459.2024.2340792
ER  - 

APA

T, W., E, D., M, G., & RJ, S. (2025). Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2024.2340792

Source records