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Orienting (Hyper)graphs Under Explorable Stochastic Uncertainty.
Evripidis Bampis
Christoph Dürr
Thomas Erlebach
Murilo Santos de Lima
Nicole Megow
Jens Schlöter
Published in:
ESA (2021)
Keyphrases
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stochastic nature
uncertain data
graph theoretic
monte carlo
graph mining
graph model
graph representation
robust optimization
inherent uncertainty
incomplete information
decision theory
data sets
random graphs
learning automata
stochastic optimization
series parallel
stochastic simulation
data mining