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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Bibliografische Detailangaben

Hauptverfasser:	Fangling Leng, Fan Li, Wei Lv, Yubin Bao, Xiaofeng Liu, Tiancheng Zhang, Ge Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-08-01
Schriftenreihe:	Mathematics
Schlagworte:	few-shot learning structured data augmentation generative adversarial network semi-supervised learning active learning
Online-Zugang:	https://www.mdpi.com/2227-7390/12/17/2634
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