Kernel recursive maximum correntropy with Nyström approximation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.064
Abstract: Abstract Kernel adaptive filters (KAFs) with growing network structures incur high computational burden. Generally, sparsification methods are introduced to curb the growth of the filter structure under some threshold rules, resulting in a variable structure.… read more here.
Keywords: approximation; maximum correntropy; kernel recursive; recursive maximum ... See more keywords
Recursive Maximum Margin Active Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915334
Abstract: Active learning is an important technique to alleviate the problem when there is abundant unlabeled data but scarce labeled data. It aims to choose the most valuable samples to label in order to build powerful… read more here.
Keywords: maximum margin; recursive maximum; learning; active learning ... See more keywords
The Kernel Recursive Maximum Total Correntropy Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3202800
Abstract: Focusing on the performance deterioration of nonlinear filtering algorithms in the error-in-variable (EIV) model, a nonlinear version of maximum total correntropy (MTC) algorithm called kernel recursive maximum total correntropy (KRMTC) is proposed in this brief,… read more here.
Keywords: recursive maximum; kernel recursive; algorithm; maximum total ... See more keywords