Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning.

Cheng R, Sun Z, Qi K, Wu W, Xu L

Open source

DOI
10.3390/biomimetics11050312
Published
2026 May 1
Container
Biomimetics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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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

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