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引用次数: 0
摘要
低阶近似是解决与大规模高斯过程回归相关的 "大 n 问题 "的一种流行策略。开发低秩结构的基础函数对解决大规模高斯过程回归的 "大 n 问题 "至关重要。
Large-Scale Low-Rank Gaussian Process Prediction with Support Points
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...
期刊介绍：
Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA .
JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.
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