Issue No. 12 - Dec. (2018 vol. 51)
Leye Wang , Key Lab of High Confidence Software Technologies, Peking University, China
Bin Guo , Northwestern Polytechnical University, China
Qiang Yang , Engineering, Hong Kong University of Science and Technology, Hong Kong
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.
L. Wang, B. Guo and Q. Yang, "Smart City Development With Urban Transfer Learning," in Computer, vol. 51, no. 12, pp. 32-41, 2018.