ADALINE Robust Multistep Training Algorithm
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[1] José Carlos Príncipe,et al. Generalized correlation function: definition, properties, and application to blind equalization , 2006, IEEE Transactions on Signal Processing.
[2] Jianmin Zhang,et al. Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection , 2014, BioMed research international.
[3] Sheng Zhang,et al. Adaptive Filtering Under a Variable Kernel Width Maximum Correntropy Criterion , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.
[4] Oleksandr Bezsonov,et al. The Regularized Adaline Learning Algorithm for the Problem of Evaluation of Non-Stationary Parameters , 2019 .
[5] Oleksandr Bezsonov,et al. Function Approximation Using Robust Radial Basis Function Networks , 2011, J. Intell. Learn. Syst. Appl..
[6] A. Constantinides,et al. Least mean mixed-norm adaptive filtering , 1994 .
[7] John W. Fisher,et al. Learning from Examples with Information Theoretic Criteria , 2000, J. VLSI Signal Process..
[8] Azzedine Zerguine. A variable-parameter normalized mixed-norm (VPNMN) adaptive algorithm , 2012, EURASIP J. Adv. Signal Process..
[9] D. W. Scott,et al. Biased and Unbiased Cross-Validation in Density Estimation , 1987 .
[10] M. C. Jones,et al. A Brief Survey of Bandwidth Selection for Density Estimation , 1996 .
[11] J. Chambers,et al. A robust mixed-norm adaptive filter algorithm , 1997, IEEE Signal Processing Letters.
[12] Tania Stathaki,et al. A normalized robust mixed-norm adaptive algorithm for system identification , 2004, IEEE Signal Processing Letters.
[13] G. Stein,et al. Multivariable feedback design: Concepts for a classical/modern synthesis , 1981 .
[14] S. Morgenthaler. Robustness in Statistics , 2001 .
[15] Wentao Ma,et al. Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments , 2015, J. Frankl. Inst..
[16] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[17] Badong Chen,et al. An adaptive kernel width update for correntropy , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[18] Lu Lu,et al. Active impulsive noise control using maximum correntropy with adaptive kernel size , 2017 .
[19] Nanning Zheng,et al. Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion , 2014, IEEE Signal Processing Letters.
[20] Zengqi Sun,et al. Stochastic Gradient Algorithm Under (h,φ)-Entropy Criterion , 2007 .
[21] Werner A. Stahel,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[22] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[23] Haiquan Zhao,et al. An Improved Variable Kernel Width for Maximum Correntropy Criterion Algorithm , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.
[24] Weifeng Liu,et al. Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.
[25] Badong Chen,et al. An adaptive kernel width update method of correntropy for channel estimation , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).
[26] A. Bowman. An alternative method of cross-validation for the smoothing of density estimates , 1984 .
[27] Bernard Widrow,et al. The least mean fourth (LMF) adaptive algorithm and its family , 1984, IEEE Trans. Inf. Theory.