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A Selective Review on Random Survival Forests for High Dimensional Data

Over the past decades, there has been considerable interest in applying statistical machine learning methods in survival analysis. Ensemble based approaches, especially random survival forests, have been developed in a variety of contexts due to their high precision and non-parametric nature. This a...

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Detaylı Bibliyografya
Yayımlandı:Quant Biosci
Asıl Yazarlar: Wang, Hong, Li, Gang
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2017
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6364686/
https://ncbi.nlm.nih.gov/pubmed/30740388
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22283/qbs.2017.36.2.85
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