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Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)最新文献

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APPLYING BAYESIAN INVERSION WITH MARKOV CHAIN MONTE CARLO TO PEDESTRIAN DYNAMICS 基于马尔可夫链蒙特卡罗的贝叶斯反演在行人动力学中的应用
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) Pub Date : 1900-01-01 DOI: 10.7712/120219.6322.18561
Marion Gödel, Rainer Fischer, Gerta Köster
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引用次数: 3
GAUSSIAN PROCESSES FOR REGRESSION AND CLASSIFICATION TASKS USING NON-GAUSSIAN LIKELIHOODS 高斯过程的回归和分类任务使用非高斯似然
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) Pub Date : 1900-01-01 DOI: 10.7712/120219.6359.18465
Diego Echeverria Rios, P. Green
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引用次数: 2
RELIABILITY-BASED DESIGN OPTIMISATION OF A DUCTED PROPELLER THROUGH MULTI-FIDELITY LEARNING 基于多保真度学习的导管螺旋桨可靠性优化设计
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) Pub Date : 1900-01-01 DOI: 10.7712/120219.6363.18806
P. Korondi, L. Parussini, M. Marchi, C. Poloni
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引用次数: 0
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