Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction

Random forests consisting of an ensemble of regression trees with equal weights are frequently used for design of predictive models. In this article, we consider an extension of the methodology by representing the regression trees in the form of probabilistic trees and analyzing the nature of hetero...

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Detalles Bibliográficos
Autores principales: Rahman, Raziur, Haider, Saad, Ghosh, Souparno, Pal, Ranadip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820080/
https://www.ncbi.nlm.nih.gov/pubmed/27081304
http://dx.doi.org/10.4137/CIN.S30794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820080/
https://www.ncbi.nlm.nih.gov/pubmed/27081304
http://dx.doi.org/10.4137/CIN.S30794

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