CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose

In machine learning applications, the reliability of predictions is significant for assisted decision and risk control. As an effective framework to quantify the prediction reliability, conformal prediction (CP) was developed with the CPKNN (CP with kNN). However, the conventional CPKNN suffers from...

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Hauptverfasser:	Liu, Li, Zhan, Xianghao, Yang, Xikai, Guan, Xiaoqing, Wu, Rumeng, Wang, Zhan, Luo, Zhiyuan, Wang, You, Li, Guang
Format:	Artikel
Sprache:	eng
Schlagworte:	Quantitative Biology - Quantitative Methods
Online-Zugang:	Volltext bestellen
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