Titlebook: Schadenversicherungsmathematik; Heinz-Willi Goelden,Klaus Th. Hess,Klaus J. Schröt Textbook 2023Latest edition Der/die Herausgeber bzw. de

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Heinz-Willi Goelden,Klaus Th. Hess,Martin Morlock,Klaus D. Schmidt,Klaus J. Schrötermargin between samples belonging to different classes is enlarged, which is helpful in improving classification accuracy. The experiments are conducted on four public face databases, YALE, PIE, Extended Yale and PF01. Experiments conducted on real data show that the performance of ELDE is better tha

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Heinz-Willi Goelden,Klaus Th. Hess,Martin Morlock,Klaus D. Schmidt,Klaus J. Schröter

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Heinz-Willi Goelden,Klaus Th. Hess,Martin Morlock,Klaus D. Schmidt,Klaus J. Schröterthe authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedly978-3-540-29069-8978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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ie Prüfung der Deutschen Aktuarvereinigung (DAV) zum Grundwissen Schadenversicherungsmathematik gehalten haben. Die Aufgaben beruhen auf Prüfungen der DAV und wurden leicht überarbeitet..978-3-662-68622-5978-3-662-68623-2

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Heinz-Willi Goelden,Klaus Th. Hess,Martin Morlock,Klaus D. Schmidt,Klaus J. Schröter, it can be mentioned the volume of data involved, the redundancy, the presence of unexpected values that arise mainly due to noisy pixels and background objects whose responses to the sensor are very different from those of their neighbours. Sometimes, the volume of data and number of variables inv