A unifying view for the mixture model of sparse Gaussian processes-Reference-Cited by-同舟云学术

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A unifying view for the mixture model of sparse Gaussian processes

Published:2024-03 Issue: Volume:660 Page:120124
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xie Yurong^ORCID,Wu Di^ORCID,Qiang Zhe^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Multi-view collaborative Gaussian process dynamical systems;Sun;J. Mach. Learn. Res.,2023

2. Learning, inference, and prediction on probability density functions with constrained Gaussian processes;Tran;Inf. Sci.,2023

3. Predicting time series by data-driven spatiotemporal information transformation;Tao;Inf. Sci.,2023

4. A unifying view of sparse approximate Gaussian process regression;Quiñonero-Candela;J. Mach. Learn. Res.,2005

5. When Gaussian process meets big data: a review of scalable GPs;Liu;IEEE Trans. Neural Netw. Learn. Syst.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Split-and-merge model selection of mixtures of Gaussian processes with RJMCMC;Pattern Recognition;2025-01

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