Autonomous deep learning for continual learning in complex data stream environment
The last decade has seen growing attention to the processing of infinite data sequences that are quickly generated in an online fashion. These data can be in the form of structured data or unstructured data. In this situation, a continual learning algorithm is required to continually learn and craft...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/154462 |