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“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks
Current methodologies to model connectivity in complex networks either rely on network scientists’ intelligence to discover reliable physical rules or use artificial intelligence (AI) that stacks hundreds of inaccurate human-made rules to make a new one that optimally summarizes them together. Here,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771718/ https://www.ncbi.nlm.nih.gov/pubmed/36570772 http://dx.doi.org/10.1016/j.isci.2022.105697 |