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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Bibliographic Details
Main Author: Wang, Tan
Other Authors: Hanwang Zhang
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180357
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Institution: Nanyang Technological University
Language: English