A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples

In order to solve the problems of the small capacity of structured data and uneven distribution among classes in machine learning tasks, a supervised generation method for structured data called WAGAN and a cyclic sampling method named SACS (Semi-supervised and Active-learning Cyclic Sampling), base...

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מידע ביבליוגרפי

Principais autores:	Fangling Leng, Fan Li, Wei Lv, Yubin Bao, Xiaofeng Liu, Tiancheng Zhang, Ge Yu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-08-01
סדרה:	Mathematics
נושאים:	few-shot learning structured data augmentation generative adversarial network semi-supervised learning active learning
גישה מקוונת:	https://www.mdpi.com/2227-7390/12/17/2634
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