Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

Chiwoo Park; Jianhua Z. Huang; Yu Ding

Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

Chiwoo Park, Jianhua Z. Huang, Yu Ding

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	1697-1728
Number of pages	32
Journal	Journal of Machine Learning Research
Volume	12
State	Published - 2011
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2021-09-16
Acknowledged KAUST grant number(s): KUS-CI-016-04
Acknowledgements: King Abdullah University of Science & Technology.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

Artificial Intelligence
Software
Statistics and Probability
Control and Systems Engineering

Cite this

@article{dd8168573b2545ba890a32a5ea411c9a,

title = "Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets",

author = "Chiwoo Park and Huang, {Jianhua Z.} and Yu Ding",

note = "KAUST Repository Item: Exported on 2021-09-16 Acknowledged KAUST grant number(s): KUS-CI-016-04 Acknowledgements: King Abdullah University of Science & Technology. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2011",

language = "English (US)",

volume = "12",

pages = "1697--1728",

journal = "Journal of Machine Learning Research",

issn = "1532-4435",

publisher = "Microtome Publishing",

}

TY - JOUR

T1 - Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

AU - Park, Chiwoo

AU - Huang, Jianhua Z.

AU - Ding, Yu

N1 - KAUST Repository Item: Exported on 2021-09-16 Acknowledged KAUST grant number(s): KUS-CI-016-04 Acknowledgements: King Abdullah University of Science & Technology. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2011

Y1 - 2011

UR - http://hdl.handle.net/10754/671249

M3 - Article

SN - 1532-4435

VL - 12

SP - 1697

EP - 1728

JO - Journal of Machine Learning Research

JF - Journal of Machine Learning Research

ER -

Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

Bibliographical note

ASJC Scopus subject areas

Other files and links

Cite this