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Selection of polynomial chaos bases via Bayesian model uncertainty methods with applications to sparse approximation of PDEs with stochastic inputs.
Georgios Karagiannis
Guang Lin
Published in:
J. Comput. Phys. (2014)
Keyphrases
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bayesian model
bayesian inference
conditional probabilities
sparse approximation
machine learning
small number
level set
linear combination