Huang, Haojie; Li, Zhongmei; Peng, Xin; Ding, Steven X.; Zhong, Weimin:
Gaussian Process Regression with Maximizing the Composite Conditional Likelihood
In: IEEE Transactions on Instrumentation and Measurement, Vol. 70 (2021), Article 2512711
2021article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Gaussian Process Regression with Maximizing the Composite Conditional Likelihood
Author:
Huang, Haojie
ORCID
0000-0002-9473-4851ORCID iD
;Li, Zhongmei
ORCID
0000-0001-8616-9568ORCID iD
;Peng, Xin
ORCID
0000-0001-9277-8415ORCID iD
Other
corresponding author
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Zhong, Weimin
ORCID
0000-0002-4285-4739ORCID iD
Other
corresponding author
Year of publication:
2021
Open Access?:
Closed access
DOI
10.1109/TIM.2021.3104376
IEEE ID
9512548
Web of Science ID
000693607800012
Scopus ID
85112576560
Language of text:
English
Appears in
IEEE Transactions on Instrumentation and Measurement
Title in English (abbreviated):
IEEE Trans Instrum Meas
Place of publication:
New York
Publisher:
IEEE
in:
Vol. 70 (2021), Article 2512711
ISSN
1557-9662 Show availability online & print
ISSN
0018-9456 Show availability online & print
ZDB ID
2027532-8
Library shelfmark:
88 I 3
Keyword, Topic:
Bayesian method ; Gaussian process regression ; hydrocracking process
Type of resource:
Text