SVM On Trees
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| Format: | Recurso digital |
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2026
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| _version_ | 1866901553059725312 |
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| author | Tran, Cong-Huan Le, Khanh-Duy Nguyen, Ngan Nguyen, Trung-Kien Tran, Thu-Le |
| author_facet | Tran, Cong-Huan Le, Khanh-Duy Nguyen, Ngan Nguyen, Trung-Kien Tran, Thu-Le |
| contents | <p><strong>Title:</strong> <em>SVM on Trees</em></p> <p>This record provides the reproducible implementation (C++17 with Python/pybind11 bindings) for the working paper/preprint <strong>“SVM on Trees”</strong>.</p> <p><strong>Repository (code):</strong> <a href="https://github.com/Tran-Thu-Le/P2507-SVM-on-tree.git" target="_new" rel="noopener">https://github.com/Tran-Thu-Le/P2507-SVM-on-tree.git</a><br><strong>Preprint (HAL):</strong> <a href="https://hal.science/hal-05505952" target="_new" rel="noopener">https://hal.science/hal-05505952</a><br><strong>PDF (HAL v1):</strong> <a href="https://hal.science/hal-05505952v1/file/P25-SVM-on-tree.pdf" target="_new" rel="noopener">https://hal.science/hal-05505952v1/file/P25-SVM-on-tree.pdf</a></p> <p><strong>Contents</strong></p> <ul> <li> <p>Core C++ implementation and Python bindings (pybind11)</p> </li> <li> <p>Benchmark scripts and plotting utilities</p> </li> <li> <p>Reproducible environment via <code>requirements.txt</code></p> </li> </ul> <p><strong>License:</strong> CC BY 4.0</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18656484 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | SVM On Trees Tran, Cong-Huan Le, Khanh-Duy Nguyen, Ngan Nguyen, Trung-Kien Tran, Thu-Le Machine learning Support vector machines One-dimensional projections Tree-based models Computational complexity <p><strong>Title:</strong> <em>SVM on Trees</em></p> <p>This record provides the reproducible implementation (C++17 with Python/pybind11 bindings) for the working paper/preprint <strong>“SVM on Trees”</strong>.</p> <p><strong>Repository (code):</strong> <a href="https://github.com/Tran-Thu-Le/P2507-SVM-on-tree.git" target="_new" rel="noopener">https://github.com/Tran-Thu-Le/P2507-SVM-on-tree.git</a><br><strong>Preprint (HAL):</strong> <a href="https://hal.science/hal-05505952" target="_new" rel="noopener">https://hal.science/hal-05505952</a><br><strong>PDF (HAL v1):</strong> <a href="https://hal.science/hal-05505952v1/file/P25-SVM-on-tree.pdf" target="_new" rel="noopener">https://hal.science/hal-05505952v1/file/P25-SVM-on-tree.pdf</a></p> <p><strong>Contents</strong></p> <ul> <li> <p>Core C++ implementation and Python bindings (pybind11)</p> </li> <li> <p>Benchmark scripts and plotting utilities</p> </li> <li> <p>Reproducible environment via <code>requirements.txt</code></p> </li> </ul> <p><strong>License:</strong> CC BY 4.0</p> |
| title | SVM On Trees |
| topic | Machine learning Support vector machines One-dimensional projections Tree-based models Computational complexity |
| url | https://doi.org/10.5281/zenodo.18656484 |