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Online sequential extreme learning machine algorithms based on maximum correntropy citerion.

, , , , , and . FUSION, page 1-7. IEEE, (2017)

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Kernel Adaptive Filters With Feedback Based on Maximum Correntropy., , , , and . IEEE Access, (2018)Hammerstein adaptive filter with single feedback under minimum mean square error., , , , , and . FUSION, page 1-7. IEEE, (2017)Fixed-Point Minimum Error Entropy With Sparsity Penalty Constraints., , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (8): 2997-3001 (2021)Kernel least mean square algorithm with mixed kernel., , , and . ICACI, page 140-144. IEEE, (2018)Differential Equation-Informed Neural Networks for State-of-Charge Estimation., , , and . IEEE Trans. Instrum. Meas., (2024)A novel least Cauchy error algorithm and its kernel extension., , , , and . CISP-BMEI, page 925-929. IEEE, (2016)Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 66-I (11): 4265-4277 (2019)Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter., , , , and . IEEE Trans. Instrum. Meas., (2023)Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation., , , , and . CoRR, (2023)Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration., , , , and . IEEE CAA J. Autom. Sinica, 9 (3): 450-465 (2022)