Abstract
The governments of many cities just starting smart city development will face a critical cold-start problem: how to develop a new smart city service with limited data. We investigate the common process of urban transfer learning, i.e., leveraging transfer learning to accelerate smart city development, and also provide city planners and relevant practitioners with guidelines for applying this novel learning paradigm.
Original language | English |
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Pages | 32-41 |
Number of pages | 10 |
Volume | 51 |
No | 12 |
Specialist publication | Computer |
DOIs | |
State | Published - Dec 2018 |