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Random Bits Forest: a Strong Classifier/Regressor for Big Data
Efficiency, memory consumption, and robustness are common problems with many popular methods for data analysis. As a solution, we present Random Bits Forest (RBF), a classification and regression algorithm that integrates neural networks (for depth), boosting (for width), and random forests (for pre...
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| Publicado en: | Sci Rep |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4957112/ https://ncbi.nlm.nih.gov/pubmed/27444562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep30086 |
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