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  • Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning
Title: Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning
Award ID(s):
2114260
PAR ID:
10615872
Author(s) / Creator(s):
; ;
Publisher / Repository:
Elsevier
Date Published:
Journal Name:
Transportation Research Part B: Methodological
Volume:
189
Issue:
C
ISSN:
0191-2615
Page Range / eLocation ID:
103064
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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