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Multi-fidelity modeling and calibration are data fusion tasks that ubiquitously arise in engineering design. In this paper, we introduce a novel approach based on latent-map Gaussian processes (LMGPs) that enables efficient and accurate data fusion.
Externí odkaz:
http://arxiv.org/abs/2112.02206
Autor:
Oune, Nicholas, Bostanabad, Ramin
Gaussian processes (GPs) are ubiquitously used in sciences and engineering as metamodels. Standard GPs, however, can only handle numerical or quantitative variables. In this paper, we introduce latent map Gaussian processes (LMGPs) that inherit the a
Externí odkaz:
http://arxiv.org/abs/2102.03935
Akademický článek
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Autor:
Tec, Andrew, Schilling, Chanceleir, Takwa, Khaled, Chong, Woo Yoong, Alkhatib, Mazen, Tizani, Arwa, Borchers, Calvin, Tran, Kim, DeLouise, Nicolas, Batther, Jagdeep, Tadros, Adora, Lee, Youngon, Iskander, Youssef, Gill, Harmeet, Chang, Allen, Kim, Dong, Ferreira, Kyle, Burre, Will, Hsiao, Leslie, McCutcheon, Sean, Lee, Jason, Monahan, Kyle, Richman, Miles, Linares, Sergio, Wang, Lisheng, Cao, Jiahui, Pham, Johnny, Ma, Jessica, Casper, Matt, Quach, Kelly, Jimenez, Daniella, Lee, Adrienne, Yasutake, Trevor, Oune, Nicholas, Mekkittikul, Mark, Kumar, Shreshth, Cheng, Derek, Fleming, Lauren, Idris, Mohamed, Dadhaniya, Harshil, Yu, Haocheng, Lim, Rebecca, Jo, William, Said, Bilal, Walsh, Rory, Padrid, Nathan, Gu, Ruby, Moya, Andrés, Mehta, Hemang, Li, Yunyun, Carter, Ryan, Shah, Partha, Nguyen, Jimmy, Maldonado, Lourdes, Nasser, Farid
Background: HyperXite is an undergraduate senior design team at the University of California, Irvine competing in the SpaceX Hyperloop Competition III in the Summer of 2018. Our pod will be a 1:2 scale hyperloop pod utilizing an electric motor, eddy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::4c26c0f14bebbe204519bab4e0fc1f0b
https://escholarship.org/uc/item/3gz6m0kc
https://escholarship.org/uc/item/3gz6m0kc