Random Survival Forests Incorporated by the Nadaraya-Watson Regression

An attention-based random survival forest (Att-RSF) is presented in the paper. The first main idea behind this model is to adapt the Nadaraya-Watson kernel regression to the random survival forest so that the regression weights or kernels can be regarded as trainable attention weights under importan...

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Bibliographic Details
Published in:Информатика и автоматизация
Main Authors: Lev Utkin, Andrei Konstantinov
Format: Article
Language:English
Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 2022-09-01
Subjects:
machine learning
random survival forest
survival analysis
harrell's c-index
cumulative hazard function
attention mechanism
huber's contamination model
Online Access:http://ia.spcras.ru/index.php/sp/article/view/15415

Internet

http://ia.spcras.ru/index.php/sp/article/view/15415

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