Nyström kernel algorithm based on least logarithmic hyperbolic cosine loss

Kernel adaptive filters (KAFs) have sparked substantial attraction for online non-linear learning applications. It is noted that the effectiveness of KAFs is highly reliant on a rational learning criterion. Concerning this, the logarithmic hyperbolic cosine (lncosh) criterion with better robustness...

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Hlavní autoři:	Shen-Jie Tang, Yu Tang, Xi-Feng Li, Bo Liu, Dong-Jie Bi, Guo Yi, Xue-Peng Zheng, Li-Biao Peng, Yong-Le Xie
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2023-09-01
Edice:	Journal of Electronic Science and Technology
Témata:	Kernel adaptive filter (KAF) logarithmic hyperbolic cosine (lncosh) loss Nyström method Recursive
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1674862X23000356
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