A microservice-based framework for exploring data selection for cross-building knowledge transfer
Supervised deep learning has achieved remarkable success in various applications. Successful machine learning application however depends on the availability of sufficiently large amount of data. In the absence of data from the target domain, representative data collection from multiple sources is o...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10071/22106 |
| Country: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/22106 |