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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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Збережено в:
Бібліографічні деталі
Автори: X. San Liang, Dake Chen, Renhe Zhang
Формат: Artigo
Мова:Inglês
Опубліковано: American Association for the Advancement of Science (AAAS) 2023-01-01
Серія:Ocean-Land-Atmosphere Research
Онлайн доступ:https://spj.science.org/doi/10.34133/olar.0026
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