no code implementations • 25 May 2023 • Gergely Hanczár, Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári
These partial models are used to implement tournament-based sorting and the selection of features based on their importance.
no code implementations • 21 Jun 2022 • Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári
The lack of freely available (real-life or synthetic) high or ultra-high dimensional, multi-class datasets may hamper the rapidly growing research on feature screening, especially in the field of biometrics, where the usage of such datasets is common.
1 code implementation • 7 Aug 2020 • Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Erőss, András Telcs, Zoltán Somogyvári
Additionally, from the probability density function, we derive the maximum likelihood formula for global intrinsic dimensionality, if i. i. d.
1 code implementation • 31 Aug 2018 • Zsigmond Benkő, Ádám Zlatniczki, Marcell Stippinger, Dániel Fabó, András Sólyom, Loránd Erőss, András Telcs, Zoltán Somogyvári
From ancient philosophers to modern economists, biologists, and other researchers, there has been a continuous effort to unveil causal relations.