Titlebook: Intelligent Decision Technologies; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2021 The

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Christian von Lücken,Angel Acosta,Norma Rojasund der w??rigen L?sungen ist ein Arbeitsgebiet, das ich von meinem akademischen Lehrer . übernahm und bei dem ich mich bemühte, es nach seinem Tode weiterzuführen. Dabei hatte ich das Glück, sehr tüchtige jüngere Mitarbeiter zu finden. Aus der Anfangszeit ist vor allem . zu nennen, der aus diesem K

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Adam Byerly,Tatiana Kalganova,Anthony J. Grichniken - von einem Beobachtungspunkt in der Mitte dieses zwanzigsten Jahrhundert- erscheint in der Tat die Geschichte der letzten hundertfünfzig Jahre als die syste- matische Vorbereitung auf den schroffen Zusammenprall zwischen empirischer und liberaler Demokratie einerseits und totalit?rer messianischer Demokra978-3-663-06139-7978-3-663-07052-8

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Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clusteringucted in a streaming approach, using a specific time window to mimic the time-changing character of AIS data. Numerical results that measure the clustering quality have been collected and are presented in the paper. The computational experiment proves that clustering might indeed help reconstruct AI

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The Utility of Neural Model in Predicting Tax Avoidance Behaviorompared to that of a binary logistic regression. The empirical model tested was based on qualitative attributes, which relate to behavioral elements such as the attitudes and perceptions of taxpayers and also internal motivations, morality or personal values. The prediction efficiency of the MLP mod

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Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Basedthe objective variable occur are detected. Variable selection is performed by ranking the ratio of events to the sample used by the model detected as an abnormal value. Synthetic data was used to verify the method. In the verification, we succeeded in extracting one of the correct answers from a tot

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Verification of the Compromise Effect’s Suitability Based on Product Features of Automobilesnal computers. During the survey, respondents’ power of concentration was less in the case of smartphones probably due to its small screen and because they tended to operate it while moving. Therefore, as a decoy for low-priced products, it is effective to set the upper and lower grades. Conversely,