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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Bibliografske podrobnosti
Glavni avtor: Ashfahani, Andri
Drugi avtorji: Mahardhika Pratama
Format: Thesis-Doctor of Philosophy
Jezik:English
Izdano: Nanyang Technological University 2021
Teme:
Online dostop:https://hdl.handle.net/10356/154462