Uncovering feature interdependencies in high-noise environments with stepwise lookahead decision forests
Abstract 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 lack...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/0461c7c50c5d487c8476814404983280 |
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