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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Series: | Ocean-Land-Atmosphere Research |
| Online Access: | https://spj.science.org/doi/10.34133/olar.0026 |