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A type-II maximum-likelihood approach to Gaussian scale mixture-based sparse regression Kriging.
Wenze Shao
Haisong Deng
Linhan Ouyang
Qi Ge
Published in:
Comput. Ind. Eng. (2022)
Keyphrases
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maximum likelihood
type ii
gaussian distribution
sparse regression
expectation maximization
type i error
gaussian mixture model
em algorithm
feature selection and classification
gaussian mixture
neyman pearson
maximum a posteriori
linear regression
low rank
data sets
support vector