Quantized kernel recursive minimum error entropy algorithm

In this paper, we propose a online vector quantization (VQ) method based on the kernel recursive minimum error entropy (KRMEE) algorithm. According to information theoretic learning (ITL), the minimum error entropy criterion (MEE) is robust and can effective resistance to non-Gaussian noise. By comb...

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Vydané v:	Engineering applications of artificial intelligence Ročník 121; s. 105957
Hlavní autori:	Jiang, Wang, Gao, Yuyi, He, Yue, Chen, Shanmou
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2023
Predmet:	Kernel recursive minimum error entropy Online prediction Quantized kernel recursive minimum error entropy Quantized kernel recursive minimum error entropy Kernel recursive minimum error entropy Online prediction
ISSN:	0952-1976, 1873-6769
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