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Effectiveness of decomposition algorithms for multi-class classification problems Opublikowano w: Acta Universitatis Lodziensis. Folia Oeconomica 2010 / Numer 235 / s. 205 - 2132010CZYSTY TEKST
Waldemar Wołyński, Effectiveness of decomposition algorithms for multi-class classification problems, Acta Universitatis Lodziensis. Folia Oeconomica, 2010 / Numer 235, s. 205 - 213
BIBTEX@Article{ authors = " Waldemar Wołyński", title = "Effectiveness of decomposition algorithms for multi-class classification problems", journal = "Acta Universitatis Lodziensis. Folia Oeconomica", issue = "2010 / Numer 235", pages = "205 - 213" }
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Classification into two populations for time dependent observations Opublikowano w: Acta Universitatis Lodziensis. Folia Oeconomica 2000 / Numer 152 / s. 7 - 202000CZYSTY TEKST
Mirosław Krzyśko, Waldemar Wołyński, Classification into two populations for time dependent observations, Acta Universitatis Lodziensis. Folia Oeconomica, 2000 / Numer 152, s. 7 - 20
BIBTEX@Article{ authors = " Mirosław Krzyśko, Waldemar Wołyński", title = "Classification into two populations for time dependent observations", journal = "Acta Universitatis Lodziensis. Folia Oeconomica", issue = "2000 / Numer 152", pages = "7 - 20" }
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Nonlinear Principal Component Analysis for Geographically Weighted Temporal‑spatial Data Opublikowano w: Acta Universitatis Lodziensis. Folia Oeconomica 2018 / Numer 337(4) / s. 169 - 1812018CZYSTY TEKST
Mirosław Krzyśko, Wojciech Łukaszonek, Waldemar Ratajczak, Waldemar Wołyński, Nonlinear Principal Component Analysis for Geographically Weighted Temporal‑spatial Data, Acta Universitatis Lodziensis. Folia Oeconomica, 2018 / Numer 337(4), s. 169 - 181
BIBTEX@Article{ authors = " Mirosław Krzyśko, Wojciech Łukaszonek, Waldemar Ratajczak, Waldemar Wołyński", title = "Nonlinear Principal Component Analysis for Geographically Weighted Temporal‑spatial Data", journal = "Acta Universitatis Lodziensis. Folia Oeconomica", issue = "2018 / Numer 337(4)", pages = "169 - 181" }
