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pro vyhledávání: '"Cole, D Austin"'
Gaussian process (GP) surrogate modeling for large computer experiments is limited by cubic runtimes, especially with data from stochastic simulations with input-dependent noise. A popular workaround to reduce computational complexity involves local
Externí odkaz:
http://arxiv.org/abs/2109.05324
Autor:
Cole, D. Austin, Gramacy, Robert B., Warner, James E., Bomarito, Geoffrey F., Leser, Patrick E., Leser, William P.
In reliability analysis, methods used to estimate failure probability are often limited by the costs associated with model evaluations. Many of these methods, such as multifidelity importance sampling (MFIS), rely upon a computationally efficient, su
Externí odkaz:
http://arxiv.org/abs/2105.11357
Gaussian processes (GPs) serve as flexible surrogates for complex surfaces, but buckle under the cubic cost of matrix decompositions with big training data sizes. Geospatial and machine learning communities suggest pseudo-inputs, or inducing points,
Externí odkaz:
http://arxiv.org/abs/2008.12857
A common challenge in computer experiments and related fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. Much of the recent focus in the computer experiment literature, where mode
Externí odkaz:
http://arxiv.org/abs/1812.02794
Publikováno v:
In Computational Statistics and Data Analysis October 2022 174
Publikováno v:
In Preventive Medicine Reports June 2020 18
Autor:
Cole, D. Austin, Gramacy, Robert B., Warner, James E., Bomarito, Geoffrey F., Leser, Patrick E., Leser, William P.
Publikováno v:
Journal of Quality Technology. 55:43-60
In reliability analysis, methods used to estimate failure probability are often limited by the costs associated with model evaluations. Many of these methods, such as multifidelity importance sampling (MFIS), rely upon a computationally efficient, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b872cdb7d3eca6af8274facd81bc04
https://doi.org/10.1080/00224065.2022.2053795
https://doi.org/10.1080/00224065.2022.2053795
Autor:
Cole, D. Austin1 (AUTHOR) austin.cole8@vt.edu, Gramacy, Robert B.2 (AUTHOR) rbg@vt.edu, Warner, James E.3 (AUTHOR) james.e.warner@nasa.gov, Bomarito, Geoffrey F.3 (AUTHOR) geoffrey.f.bomarito@nasa.gov, Leser, Patrick E.3 (AUTHOR) patrick.e.leser@nasa.gov, Leser, William P.3 (AUTHOR) william.p.leser@nasa.gov
Publikováno v:
Journal of Quality Technology. 2023, Vol. 55 Issue 1, p70-87. 18p.
As smart technology use is growing in residential environments, research on how such technologies can provide opportunities for safely and actively aging in place by integrating physical activity into daily routines and reducing sedentariness is scar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::34d63d738218045eab06c0996361360c
https://hdl.handle.net/10919/104709
https://hdl.handle.net/10919/104709
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