Academic literature on the topic 'Bayes'sche Netze'

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Dissertations / Theses on the topic "Bayes'sche Netze"

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Rogge-Solti, Andreas, Ronny S. Mans, der Aalst Wil M. P. van, and Mathias Weske. "Repairing event logs using stochastic process models." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6679/.

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Companies strive to improve their business processes in order to remain competitive. Process mining aims to infer meaningful insights from process-related data and attracted the attention of practitioners, tool-vendors, and researchers in recent years. Traditionally, event logs are assumed to describe the as-is situation. But this is not necessarily the case in environments where logging may be compromised due to manual logging. For example, hospital staff may need to manually enter information regarding the patient’s treatment. As a result, events or timestamps may be missing or incorrect. I
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Vogel, Kristin. "Applications of Bayesian networks in natural hazard assessments." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2014/6977/.

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Even though quite different in occurrence and consequences, from a modeling perspective many natural hazards share similar properties and challenges. Their complex nature as well as lacking knowledge about their driving forces and potential effects make their analysis demanding: uncertainty about the modeling framework, inaccurate or incomplete event observations and the intrinsic randomness of the natural phenomenon add up to different interacting layers of uncertainty, which require a careful handling. Nevertheless deterministic approaches are still widely used in natural hazard assessments,
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Wittig, Frank [Verfasser]. "Maschinelles Lernen Bayes'scher Netze für benutzeradaptive Systeme / vorgelegt von Frank Wittig." 2004. http://d-nb.info/972323384/34.

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Munkelt, Torsten [Verfasser]. "Potenzial Bayes'scher Netze zur Unterstützung der Produktionsplanung und -steuerung / vorgelegt von Torsten Munkelt." 2009. http://d-nb.info/99973590X/34.

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Conference papers on the topic "Bayes'sche Netze"

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Stöhr, M., A. Hikal, A. Oeser, et al. "Entwicklung eines Therapieentscheidungsunterstützenden Systems für das Larynxkarzinom auf der Basis von Bayes'schen Netzen." In Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1685928.

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