Open AccessUTILIZING ADJOINT-BASED ERROR ESTIMATES FOR SURROGATE MODELS TO ACCURATELY PREDICT PROBABILITIES OF EVENTS
Author(s) -
Troy Butler,
Timothy Wildey
Publication year - 2018
Publication title -
international journal for uncertainty quantification
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 21
eISSN - 2152-5099
pISSN - 2152-5080
DOI - 10.1615/int.j.uncertaintyquantification.2018020911
Subject(s) - robustness (evolution) , surrogate model , uncertainty quantification , computer science , algorithm , fidelity , reliability (semiconductor) , event (particle physics) , sample size determination , mathematics , mathematical optimization , statistics , machine learning , telecommunications , biochemistry , chemistry , power (physics) , physics , quantum mechanics , gene
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom