A Note on Small Percolating Sets on Hypercubes via Generative AI
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929608903884800 |
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| author | Bérczi, Gergely Wagner, Adam Zsolt |
| author_facet | Bérczi, Gergely Wagner, Adam Zsolt |
| contents | We apply a generative AI pattern-recognition technique called PatternBoost to study bootstrap percolation on hypercubes. With this, we slightly improve the best existing upper bound for the size of percolating subsets of the hypercube. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_19734 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Note on Small Percolating Sets on Hypercubes via Generative AI Bérczi, Gergely Wagner, Adam Zsolt Machine Learning Discrete Mathematics 68R10, 68T07, 05C35 We apply a generative AI pattern-recognition technique called PatternBoost to study bootstrap percolation on hypercubes. With this, we slightly improve the best existing upper bound for the size of percolating subsets of the hypercube. |
| title | A Note on Small Percolating Sets on Hypercubes via Generative AI |
| topic | Machine Learning Discrete Mathematics 68R10, 68T07, 05C35 |
| url | https://arxiv.org/abs/2411.19734 |