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pro vyhledávání: '"Byrski, A."'
Gaussian Mixture Models (GMM) do not adapt well to curved and strongly nonlinear data. However, we can use Gaussians in the curvilinear coordinate systems to solve this problem. Moreover, such a solution allows for the adaptation of clusters to the c
Externí odkaz:
http://arxiv.org/abs/2304.01367
Publikováno v:
In Control Engineering Practice May 2024 146
Autor:
Godzik, Mateusz, Dajda, Jacek, Kisiel-Dorohinicki, Marek, Byrski, Aleksander, Rutkowski, Leszek, Orzechowski, Patryk, Wagenaar, Joost, Moore, Jason H.
Publikováno v:
Journal of Computational Science, Volume 64, October 2022, 101858
Evolutionary multi-agent systems (EMASs) are very good at dealing with difficult, multi-dimensional problems, their efficacy was proven theoretically based on analysis of the relevant Markov-Chain based model. Now the research continues on introducin
Externí odkaz:
http://arxiv.org/abs/2210.13205
Autor:
Kipinski, Piotr, Guzowski, Hubert, Urbanczyk, Aleksandra, Smolka, Maciej, Kisiel-Dorohinicki, Marek, Byrski, Aleksander, Oplatkova, Zuzana Kominkova, Senkerik, Roman, Pekar, Libor, Matusu, Radek, Gazdos, Frantisek
Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing novel socio-cognitive metaheuristic based on castes, and apply several ve
Externí odkaz:
http://arxiv.org/abs/2210.12872
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Autor:
Starzec, Grażyna, Starzec, Mateusz, Rutkowski, Leszek, Kisiel-Dorohinicki, Marek, Byrski, Aleksander
Publikováno v:
In Journal of Computational Science July 2024 79
Biclustering is a data mining technique which searches for local patterns in numeric tabular data with main application in bioinformatics. This technique has shown promise in multiple areas, including development of biomarkers for cancer, disease sub
Externí odkaz:
http://arxiv.org/abs/2105.01196
Autor:
Sacha, Mikołaj, Błaż, Mikołaj, Byrski, Piotr, Dąbrowski-Tumański, Paweł, Chromiński, Mikołaj, Loska, Rafał, Włodarczyk-Pruszyński, Paweł, Jastrzębski, Stanisław
The central challenge in automated synthesis planning is to be able to generate and predict outcomes of a diverse set of chemical reactions. In particular, in many cases, the most likely synthesis pathway cannot be applied due to additional constrain
Externí odkaz:
http://arxiv.org/abs/2006.15426
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