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Uncovering feature interdependencies in high-noise environments with stepwise lookahead decision forests
Conventionally, random forests are built from “greedy” decision trees which each consider only one split at a time during their construction. The sub-optimality of greedy implementation has been well-known, yet mainstream adoption of more sophisticated tree building algorithms has been lacking. We e...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085031/ https://www.ncbi.nlm.nih.gov/pubmed/33927260 http://dx.doi.org/10.1038/s41598-021-88571-3 |