Single/Multi-Source Black-Box Domain Adaption for Sensor Time Series Data

Unsupervised domain adaption (UDA), which transfers knowledge from a labeled source domain to an unlabeled target domain, has attracted tremendous attention in many machine learning applications. Recently, there have been attempts to apply domain adaption for sensor time series data, such as human a...

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Veröffentlicht in:	IEEE transactions on cybernetics 2024-08, Vol.54 (8), p.4712-4723
Hauptverfasser:	Ren, Lei, Cheng, Xuejun
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Adaptation models Adversarial machine learning Closed box Data models gesture recognition multisource transfer learning Predictive models time series Time series analysis Training unsupervised domain adaptation
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