Cope with diverse data structures in multi-fidelity modeling : a Gaussian process method

• المؤلفون الرئيسيون: Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei, Wang, Yi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Multi-fidelity Modeling; Gaussian Process Regression
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/139701
• المؤسسة: Nanyang Technological University

Multi-fidelity modeling (MFM) frameworks, especially the Bayesian MFM, have gained popularity in simulation based modeling, uncertainty quantification and optimization, due to the potential for reducing computational budget. In the view of multi-output modeling, the MFM approximates the high-/low-fi...