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Large-Scale Low-Rank Gaussian Process Prediction with Support Points
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-09-20 , DOI: 10.1080/01621459.2024.2403188
Yan Song, Wenlin Dai, Marc G. Genton

Low-rank approximation is a popular strategy to tackle the “big n problem” associated with large-scale Gaussian process regressions. Basis functions for developing low-rank structures are crucial a...

中文翻译:


带支持点的大规模低秩高斯过程预测



低秩近似是解决与大规模高斯过程回归相关的“大n问题”的流行策略。开发低阶结构的基本函数对于......
更新日期:2024-09-20
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