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Humans in the Loop: Incorporating Expert and Crowd-Sourced Knowledge for Predictions Using Survey Data
Survey data sets are often wider than they are long. This high ratio of variables to observations raises concerns about overfitting during prediction, making informed variable selection important. Recent applications in computer science have sought to incorporate human knowledge into machine-learnin...
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| Pubblicato in: | Socius |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8112737/ https://ncbi.nlm.nih.gov/pubmed/33981842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2378023118820157 |
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