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Begell House作者,编辑及审稿者
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作者
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John D. Jakeman
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Optimization and Uncertainty Quantification, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87123, USA
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Editorial Boards
Journal of Machine Learning for Modeling and Computing
Articles
MFNets: MULTI-FIDELITY DATA-DRIVEN NETWORKS FOR BAYESIAN LEARNING AND PREDICTION
Vol. 10 '2020
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International Journal for Uncertainty Quantification
DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION
Vol. 11 '2021
-
International Journal for Uncertainty Quantification
HYPERDIFFERENTIAL SENSITIVITY ANALYSIS IN THE CONTEXT OF BAYESIAN INFERENCE APPLIED TO ICE-SHEET PROBLEMS
Vol. 14 '2024
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International Journal for Uncertainty Quantification
TIME AND FREQUENCY DOMAIN METHODS FOR BASIS SELECTION IN RANDOM LINEAR DYNAMICAL SYSTEMS
Vol. 8 '2018
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International Journal for Uncertainty Quantification
A SURVEY OF CONSTRAINED GAUSSIAN PROCESS REGRESSION: APPROACHES AND IMPLEMENTATION CHALLENGES
Vol. 1 '2020
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Journal of Machine Learning for Modeling and Computing
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