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Concordance based Survival Cobra with regression type weak learners. (arXiv:2209.11919v2 [stat.ML] UPDATED)
Oct. 11, 2022, 1:16 a.m. | Rahul Goswami, Arabin Kumar Dey
stat.ML updates on arXiv.org arxiv.org
In this paper, we predict conditional survival functions through a combined
regression strategy. We take weak learners as different random survival trees.
We propose to maximize concordance in the right-censored set up to find the
optimal parameters. We explore two approaches, a usual survival cobra and a
novel weighted predictor based on the concordance index. Our proposed
formulations use two different norms, say, Max-norm and Frobenius norm, to find
a proximity set of predictions from query points in the test …
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