The Probably Approximately Correct Learning Model in Computational Learning Theory
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918198172975104 |
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| author | Servedio, Rocco A. |
| author_facet | Servedio, Rocco A. |
| contents | This survey paper gives an overview of various known results on learning classes of Boolean functions in Valiant's Probably Approximately Correct (PAC) learning model and its commonly studied variants. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08791 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Probably Approximately Correct Learning Model in Computational Learning Theory Servedio, Rocco A. Machine Learning This survey paper gives an overview of various known results on learning classes of Boolean functions in Valiant's Probably Approximately Correct (PAC) learning model and its commonly studied variants. |
| title | The Probably Approximately Correct Learning Model in Computational Learning Theory |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2511.08791 |