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Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications [electronic resource]

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Bibliographic Details
Online Access:	Full Text (via OSTI)
Corporate Author:	United States. Department of Energy. Chicago Operations Office
Format:	Government Document Electronic eBook
Language:	English
Published:	Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2021.
Subjects:	97 mathematics and computing 71 classical and quantum mechanics, general physics Computer science Physics Bayesian sparse learning Preconditioned stochastic gradient mcmc Deep learning Deep neural network Adaptive hierarchical posterior Stochastic approximation Mathematics and computing Classical and quantum mechanics, general physics

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Call Number:	E 1.99:1853726
E 1.99:1853726	Available