Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning.
- DOI
- 10.3390/biomimetics11050312
- Published
- 2026 May 1
- Container
- Biomimetics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics11050312,
title = {Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning.},
author = {Cheng R and Sun Z and Qi K and Wu W and Xu L},
year = {2026},
journal = {Biomimetics (Basel, Switzerland)},
doi = {10.3390/biomimetics11050312},
url = {https://doi.org/10.3390/biomimetics11050312}
}RIS
TY - JOUR TI - Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning. AU - Cheng R AU - Sun Z AU - Qi K AU - Wu W AU - Xu L PY - 2026 JO - Biomimetics (Basel, Switzerland) DO - 10.3390/biomimetics11050312 UR - https://doi.org/10.3390/biomimetics11050312 ER -
APA
R, C., Z, S., K, Q., W, W., & L, X. (2026). Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics11050312
Source records
- pubmed · retrieved 2026-09-26T00:11:15.514Z