An Algebraic Representation Theorem for Linear GENEOs in Machine Learning
- DOI
- 10.48550/arxiv.2601.03910
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2601.03910,
title = {An Algebraic Representation Theorem for Linear GENEOs in Machine Learning},
author = {Conti, Francesco and Frosini, Patrizio and Quercioli, Nicola},
year = {2026},
doi = {10.48550/arxiv.2601.03910},
url = {https://doi.org/10.48550/arxiv.2601.03910}
}RIS
TY - JOUR TI - An Algebraic Representation Theorem for Linear GENEOs in Machine Learning AU - Conti, Francesco AU - Frosini, Patrizio AU - Quercioli, Nicola PY - 2026 DO - 10.48550/arxiv.2601.03910 UR - https://doi.org/10.48550/arxiv.2601.03910 ER -
APA
Francesco, C., Patrizio, F., & Nicola, Q. (2026). An Algebraic Representation Theorem for Linear GENEOs in Machine Learning. https://doi.org/10.48550/arxiv.2601.03910
Source records
- datacite · retrieved 2026-11-10T12:35:39.255Z