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Videovortrag  –  GridKa-School 2007
Erstellt am: 02.09.2008
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Abstract: Grid computing will be one of the corner stones in the computing models of the LHC experiments that will start data taking next year. Large computing resources are built up to process, analyze, and simulate the LHC data. Already today, many running high energy physics experiments use the distributed...
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Abstract: Beispiel einer Grid-Anwendung im Bereich der Hochenergie-Physik
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A modern analysis technique from High Energy Physics and its way as prognosis tool into business
Videovortrag  –  GridKa School 2008
Erstellt am: 27.01.2009
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Abstract: NeuroBayes is an algorithm based on neural networks and Bayesian statistics which can learn complex multivariate dependencies from historic or simulated data and use this as a basis for predictions of future events. In particular it is optimized to distinguish statistically relevant dynamics from st...
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