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Efficient stochastic EM studies via dimensionality reduction of polynomial-chaos expansions.
Christos I. Salis
Nikolaos V. Kantartzis
Theodoros T. Zygiridis
Published in:
MOCAST (2018)
Keyphrases
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dimensionality reduction
computationally expensive
principal component analysis
neural network
case study
feature extraction
pattern recognition
low dimensional
generative model
mixture model
genetic algorithm
feature selection
feature space
probabilistic model
state space
monte carlo