Nyström kernel algorithm based on least logarithmic hyperbolic cosine loss

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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Bibliographic Details
Main Authors: Shen-Jie Tang, Yu Tang, Xi-Feng Li, Bo Liu, Dong-Jie Bi, Guo Yi, Xue-Peng Zheng, Li-Biao Peng, Yong-Le Xie
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Journal of Electronic Science and Technology
Subjects:
Kernel adaptive filter (KAF)
logarithmic hyperbolic cosine (lncosh) loss
Nyström method
Recursive
Online Access:http://www.sciencedirect.com/science/article/pii/S1674862X23000356

Internet

http://www.sciencedirect.com/science/article/pii/S1674862X23000356

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