Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation

The use of transfer learning (TL) techniques has become common practice in fields such as computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge gained from data with different distributions, TL offers higher performance and reduced training time, but has yet to be fu...

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Главные авторы:	Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-07-01
Серии:	Machine Learning and Knowledge Extraction
Предметы:	machine learning deep learning transfer learning domain adaptation radio frequency machine learning
Online-ссылка:	https://www.mdpi.com/2504-4990/6/3/84
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