README.md

In whcsu/ELMSurv: Extreme Learning Machine for Survival Analysis

ELMSurv

We use the Buckley-James method to impute the data and extend the emerging Extreme Learning Machine approach to survival analysis. Currently, only right censored data are supported. For a detailed information, see the paper "A Survival Ensemble of Extreme Learning Machine" by Hong Wang, Jianxin Wang and Lifeng Zhou (2017), URL: https://link.springer.com/article/10.1007%2Fs10489-017-1063-4

An online  full-text view-only version provided by Springer-the publisher is

http://rdcu.be/vOi8

The Bibtex record to cite this article is as follows:

@Article{Wang2017, author="Wang, Hongand Wang, Jianxin and Zhou, Lifeng", title="A survival ensemble of extreme learning machine", journal="Applied Intelligence", year="2017",month="Sep",day="13", issn="1573-7497", doi="10.1007/s10489-017-1063-4", url="https://doi.org/10.1007/s10489-017-1063-4" }

whcsu/ELMSurv documentation built on May 6, 2019, 5:04 p.m.