Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning
It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intelligence algorithms, however, is challenged with its vagueness, nonquantitativeness, computational inefficiency, etc. Duri...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Seria: | Ocean-Land-Atmosphere Research |
| Dostęp online: | https://spj.science.org/doi/10.34133/olar.0026 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
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