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A Bayesian machine scientist to aid in the solution of challenging scientific problems
Closed-form, interpretable mathematical models have been instrumental for advancing our understanding of the world; with the data revolution, we may now be in a position to uncover new such models for many systems from physics to the social sciences. However, to deal with increasing amounts of data,...
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| I publikationen: | Sci Adv |
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| Huvudupphovsmän: | , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Association for the Advancement of Science
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6994216/ https://ncbi.nlm.nih.gov/pubmed/32064326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.aav6971 |
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