0544026 - ÚI 2022 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra - Tichavský, JanA Comparison of Trend Estimators under Heteroscedasticity.
Artificial Intelligence and Soft Computing. ICAISC 2021 Proceedings, Part I. Cham: Springer, 2021 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 89-98. Lecture Notes in Artificial Intelligence, 12854. ISBN 978-3-030-87985-3. ISSN 0302-9743.
[ICAISC 2021: The International Conference on Artificial Intelligence and Soft Computing /20./. Zakopane / Virtual (PL), 20.06.2021-24.06.2021]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Nonlinear regression * Robust neural networks * Taut string * Outliers * Heteroscedasticity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0321087