Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification

出版年份 2013 全文链接

标题

Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification

作者

关键词

-

出版物

JOURNAL OF COMPUTATIONAL PHYSICS

Volume 241, Issue -, Pages 212-239

出版商

Elsevier BV

发表日期

2013-02-08

DOI

10.1016/j.jcp.2013.01.011

向作者/读者发起求助以获取更多资源

Protocol

Reagent

Reprint

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

© Peeref 2019-2024. All rights reserved.