ml-optimized-orthogonal-basis-pp
Experimental results for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
https://github.com/hawaclawek/ml-optimized-orthogonal-basis-pp
Science Score: 31.0%
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Low similarity (5.0%) to scientific vocabulary
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Repository
Experimental results for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
Basic Info
- Host: GitHub
- Owner: hawaclawek
- Language: HTML
- Default Branch: main
- Homepage: https://doi.org/10.1007/978-3-031-75623-8_33
- Size: 27.9 MB
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
readme.md
Experimental results for research on:
H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Op- timization, Cham: Springer Nature Switzerland, 2025, pp. 427–441. DOI: 10. 1007/978-3-031-75623-833_
See citation.bib for details on citation.
The first three Jupyter notebook exports deal with preliminary work,
like implementing Chebyshev basis into our exiting solution or segment size experiments.
Notebook exports 03 - 06 cover the essential results discussed in our paper.
Notebook export 07 documents generation of plots for the paper.
The code used to generate these results is also available in a more presentable/cleaned form here:
https://github.com/JRC-ISIA/ml-optimized-orthogonal-basis-1d-pp
Owner
- Login: hawaclawek
- Kind: user
- Repositories: 1
- Profile: https://github.com/hawaclawek
Citation (citation.bib)
@inproceedings{WH24,
keywords = {cdg},
title = {{Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation}},
author = {Waclawek, Hannes and Huber, Stefan},
year = {2025},
booktitle = {{Learning and Intelligent Optimization}},
publisher = {{Springer Nature Switzerland}},
address = {Cham},
pages = {427-441},
isbn = {978-3-031-75623-8},
doi = {10.1007/978-3-031-75623-8_33}
}
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