Deep transfer learning on continual learning

Artificial intelligent agents acting in the real world interact with a multitude of data streams. As a result, they must attain, accumulate and record various tasks from non-stationary data distributions. In addition, self-governing computational agents must acquire an understanding of new experienc...

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書目詳細資料
主要作者: Sousa Leite de Carvalho, Marcus Vinicius
其他作者: Zhang Jie
格式: Thesis-Doctor of Philosophy
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/171082
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