Title | Machine Learning Class Numbers of Real Quadratic Fields |
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Type | Journal article |
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Authors | Oliver, T., Amir, M., He, Y.-H., Lee, K.-H. and Sultanow, E. |
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Abstract | We implement and interpret various supervised learning experiments involving real quadratic fields with class numbers 1, 2 and 3. We quantify the relative difficulties in separating class numbers of matching/different parity from a data-scientific perspective, apply the methodology of feature analysis and principal component analysis, and use symbolic classification to develop machine-learned formulas for class numbers 1, 2 and 3 that apply to our dataset. |
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Journal | International Journal of Data Science in the Mathematical Sciences |
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Journal citation | 1 (2), pp. 107-134 |
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ISSN | 2810-9392 |
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| 2810-9406 |
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Year | 2023 |
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Publisher | World Scientific Publishing |
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Accepted author manuscript | File Access Level Open (open metadata and files) |
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Digital Object Identifier (DOI) | https://doi.org/10.1142/s2810939223500016 |
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Publication dates |
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Published online | 09 Dec 2023 |
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