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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Detalles Bibliográficos
Autores principales: Wang, Yi, Li, Yi, Pu, Weilin, Wen, Kathryn, Shugart, Yin Yao, Xiong, Momiao, Jin, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957112/
https://www.ncbi.nlm.nih.gov/pubmed/27444562
http://dx.doi.org/10.1038/srep30086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957112/
https://www.ncbi.nlm.nih.gov/pubmed/27444562
http://dx.doi.org/10.1038/srep30086

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