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Titlebook: Advances in Computing; 13th Colombian Confe Jairo E. Serrano C.,Juan Carlos Martínez-Santos Conference proceedings 2018 Springer Nature Swi

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Comparing Graph Similarity Measures for Semantic Representations of Documents,teigern können..Zielgruppen:.Alle, die selbst in Teams arbeiten, z. B. .Teamleiter in Dienstleistung, Verwaltung oder Industrie.Mitarbeiter in teamorientierten Organisationen .Vorstände und Aufsichtsräte.Manager und Teamverantwortliche.Alle, die Voraussetzungen für Teamarbeit verbessern wollen, z. B
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,CREANDO – Platform for Game Experiences Base on Pervasive Narrative in Closed Spaces: An Educationainem erfolgreichen Abschluß zu bringen. Dank sage ich ebenfalls meinen Betreuern Prof. Dr. Michael Jagenlauf M.A. (Fachbereich Pädagogik) sowie Prof. Dr. Peter Nieder (Fachbereich Wirtschaftswissenschaften) -beide lehrend an der Universität der Bundeswehr, Hamburg- flir ihre hilfreiche Unterstützung
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https://doi.org/10.1007/b101854g its performance and accuracy. Our code solves a system of linear equations large enough to exceed the card’s memory, but not the host memory. Significant speedups were observed, as the execution time taken to solve each system is faster than those obtained with Intel. MKL and Eigen, libraries desi
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https://doi.org/10.1007/b101854ironment to analyze the information of a higher education institution. The analysis is focused on the academic performance of the students from different perspectives (social, economic, family, among others). In order to improve the results, the analysis process is done in real time through Web Anal
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https://doi.org/10.1007/b101854 the performance of three classifiers (KNN, Parzen-density-based classifier and ANN) using spectral (Wavelets) and time-domain-based (statistical and morphological descriptors) features. Also, a methodology for movement selection is proposed. Results are comparable with those reported in literature,
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https://doi.org/10.1007/978-3-319-13951-7emantic representation graphs and are implemented and evaluated. Experiments performed on two datasets reveal better results when using the graph similarity measures than when using vector similarity measures. This paper presents the conceptual background, the adapted measures and their evaluation a
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