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The Phi-T NeuroBayes prediction machine
Videovortrag  –  GridKa School 2009
Erstellt am: 10.02.2010
Aktivität: 
Abstract: NeuroBayes is an extermely versatile, fast and robust artificial intelligence algorithm to predict probabilities for future events on the basis of neural networks and Bayesian statistics. Originally developed for high energy particle physics at the University of Karlsruhe, the high tech company Phi-...
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Lessons learnt from STEP09
Videovortrag  –  GridKa School 2009
Erstellt am: 09.02.2010
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Keywords: CERN, LHC, Teilchenphysik
Abstract: Keine Zusammenfassung (Abstract) vorhanden.
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Videovortrag  –  5th Black Forest Grid Workshop
Erstellt am: 14.05.2009
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Abstract: Kein Abstract vorhanden.
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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
Aktivität: 
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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