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Modeling Non-Stationarity with Deep Gaussian Processes: Applications in Aerospace Engineering
Mapping Intimacies
◽
10.2514/6.2022-1096
◽
2022
◽
Author(s):
Muhammad F. Izzaturrahman
◽
Pramudita S. Palar
◽
Lavi Zuhal
◽
Koji Shimoyama
Keyword(s):
Gaussian Processes
◽
Aerospace Engineering
Download Full-text
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International Talents Cultivating System in Aerospace Engineering and its Construction Practice
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Engineering flight testing - A most valuable technical elective for aerospace engineering students
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Faculty Opinions recommendation of Navigating the protein fitness landscape with Gaussian processes.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
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2013
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Author(s):
Gottfried Otting
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Gaussian Processes
◽
Fitness Landscape
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