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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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 121; p. 105957
Main Authors:	Jiang, Wang, Gao, Yuyi, He, Yue, Chen, Shanmou
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2023
Subjects:	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
Online Access:	Get full text
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