The hyperdimensional transform for distributional modeling, regression and classification
- Author
- Pieter Dewulf, Bernard De Baets (UGent) and Michiel Stock (UGent)
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01K5B8CSWESQ8HQSTWXHNG4ZHS
- MLA
- Dewulf, Pieter, et al. “The Hyperdimensional Transform for Distributional Modeling, Regression and Classification.” NEURAL COMPUTING & APPLICATIONS, vol. 37, no. 23, 2025, pp. 19393–422, doi:10.1007/s00521-025-11405-0.
- APA
- Dewulf, P., De Baets, B., & Stock, M. (2025). The hyperdimensional transform for distributional modeling, regression and classification. NEURAL COMPUTING & APPLICATIONS, 37(23), 19393–19422. https://doi.org/10.1007/s00521-025-11405-0
- Chicago author-date
- Dewulf, Pieter, Bernard De Baets, and Michiel Stock. 2025. “The Hyperdimensional Transform for Distributional Modeling, Regression and Classification.” NEURAL COMPUTING & APPLICATIONS 37 (23): 19393–422. https://doi.org/10.1007/s00521-025-11405-0.
- Chicago author-date (all authors)
- Dewulf, Pieter, Bernard De Baets, and Michiel Stock. 2025. “The Hyperdimensional Transform for Distributional Modeling, Regression and Classification.” NEURAL COMPUTING & APPLICATIONS 37 (23): 19393–19422. doi:10.1007/s00521-025-11405-0.
- Vancouver
- 1.Dewulf P, De Baets B, Stock M. The hyperdimensional transform for distributional modeling, regression and classification. NEURAL COMPUTING & APPLICATIONS. 2025;37(23):19393–422.
- IEEE
- [1]P. Dewulf, B. De Baets, and M. Stock, “The hyperdimensional transform for distributional modeling, regression and classification,” NEURAL COMPUTING & APPLICATIONS, vol. 37, no. 23, pp. 19393–19422, 2025.
@article{01K5B8CSWESQ8HQSTWXHNG4ZHS,
author = {{Dewulf, Pieter and De Baets, Bernard and Stock, Michiel}},
issn = {{0941-0643}},
journal = {{NEURAL COMPUTING & APPLICATIONS}},
language = {{eng}},
number = {{23}},
pages = {{19393--19422}},
title = {{The hyperdimensional transform for distributional modeling, regression and classification}},
url = {{http://doi.org/10.1007/s00521-025-11405-0}},
volume = {{37}},
year = {{2025}},
}
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