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Dynamic Data-Driven Event Reconstruction for Atmospheric Releases
Author(s) -
G Sugiyama,
B Kosovic,
W Hanley,
G. Jóhannesson,
Shawn Larsen,
G Loosmore,
Julie K. Lundquist,
A.A. Mirin,
J Nitao,
R Serban,
K Dyer
Publication year - 2004
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/15014269
Subject(s) - markov chain monte carlo , computer science , bayesian probability , event (particle physics) , sampling (signal processing) , bayesian inference , data mining , term (time) , inference , markov chain , monte carlo method , gibbs sampling , algorithm , machine learning , statistics , artificial intelligence , mathematics , physics , filter (signal processing) , quantum mechanics , computer vision

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