Towards advanced machine generalization via data interplay

Towards advanced machine generalization via data interplay

Traditional machine learning methodologies presuppose that training and testing datasets are Independent and Identically Distributed (IID), i.e., assuming the samples of both training and testing are drawn from a consistent distribution. However, this IID assumption often fails to hold in real-world...

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書目詳細資料
主要作者:	Wang, Tan
其他作者:	Hanwang Zhang
格式:	Thesis-Doctor of Philosophy
語言:	English
出版:	Nanyang Technological University 2024
主題:	Computer and Information Science Computer vision Machine learning
在線閱讀:	https://hdl.handle.net/10356/180357
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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