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Jun, 2020
基于帽子基函数的稀疏高斯过程
Sparse Gaussian Process Based On Hat Basis Functions
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Wenqi Fang, Huiyun Li, Hui Huang, Shaobo Dang, Zhejun Huang...
TL;DR
本文扩展了约束高斯过程的核心思想,并提出了一种新的基于“帽子”基函数的稀疏高斯过程方法,将计算复杂度从精确高斯过程的 $O(n^{3})$ 降低到 $O(nm^{2})$,在开源数据集或分析函数上取得了满意的近似结果。
Abstract
gaussian process
is one of the most popular non-parametric Bayesian methodologies for modeling the
regression problem
. It is completely determined by its mean and covariance functions. And its linear property mak
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