Survival Analysis as Imprecise Classification with Trainable Kernels
Survival analysis is a fundamental tool for modeling time-to-event data in healthcare, engineering, and finance, where censored observations pose significant challenges. While traditional methods like the Beran estimator offer nonparametric solutions, they often struggle with the complex data struct...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-09-01
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| Serie: | Mathematics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2227-7390/13/18/3040 |
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