Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Burk, Lukas"'
Autor:
Burk, Lukas, Zobolas, John, Bischl, Bernd, Bender, Andreas, Wright, Marvin N., Sonabend, Raphael
This work presents the first large-scale neutral benchmark experiment focused on single-event, right-censored, low-dimensional survival data. Benchmark experiments are essential in methodological research to scientifically compare new and existing mo
Externí odkaz:
http://arxiv.org/abs/2406.04098
Scoring rules promote rational and honest decision-making, which is becoming increasingly important for automated procedures in `auto-ML'. In this paper we survey common squared and logarithmic scoring rules for survival analysis and determine which
Externí odkaz:
http://arxiv.org/abs/2212.05260
Autor:
Sonabend, Raphael, Pfisterer, Florian, Mishler, Alan, Schauer, Moritz, Burk, Lukas, Mukherjee, Sumantrak, Vollmer, Sebastian
Algorithmic fairness is an increasingly important field concerned with detecting and mitigating biases in machine learning models. There has been a wealth of literature for algorithmic fairness in regression and classification however there has been
Externí odkaz:
http://arxiv.org/abs/2206.03256
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.