The fuzzy support vector data description based on tightness for noisy label detection

Machine learning (ML) is an approach driven by data, and as research in machine learning progresses, the issue of noisy labels has garnered widespread attention. Noisy labels can significantly reduce the accuracy of supervised classification models, making it important to address this problem. There...

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Vydáno v:	Complex & intelligent systems Ročník 10; číslo 3; s. 4157 - 4174
Hlavní autoři:	Wu, Xiaoying, Liu, Sanyang, Bai, Yiguang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.06.2024 Springer Nature B.V Springer
Témata:	Accuracy Algorithms Big Data Classification Complexity Computational Intelligence Data analysis Data Structures and Information Theory Datasets Density peak algorithm Engineering Image classification Labels Machine learning Membership function Noisy label detection Original Article Outliers (statistics) Random noise SVDD Tightness Density peak algorithm Membership function SVDD Noisy label detection Classification
ISSN:	2199-4536, 2198-6053
On-line přístup:	Získat plný text
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