TY - GEN
T1 - A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis
AU - Dong, Jiyao
AU - Zheng, Yunfei
AU - Chen, Badong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/10
Y1 - 2018/10/10
N2 - Random feature kernel least mean square RF KLMS) algorithms, like the random Fourier feature KLMS (RFF-KLMS), can effectively reduce the computation and storage burdens of the KLMS algorithm in the process of update. However, little work has been done to perform the convergence analysis for such algorithms. To this end, in this paper, we present a unified framework of RF-KLMS algorithms, and based on which, a universal model for convergence analysis is given. As two examples, the RFF-KLMS and the random Gaussian feature KLMS (RGF-KLMS) are discussed detailedly. Simulations demonstrate the validity of the theoretical analysis. Index Terms-Kernel least mean square, random feature, universal model, convergence analysis.
AB - Random feature kernel least mean square RF KLMS) algorithms, like the random Fourier feature KLMS (RFF-KLMS), can effectively reduce the computation and storage burdens of the KLMS algorithm in the process of update. However, little work has been done to perform the convergence analysis for such algorithms. To this end, in this paper, we present a unified framework of RF-KLMS algorithms, and based on which, a universal model for convergence analysis is given. As two examples, the RFF-KLMS and the random Gaussian feature KLMS (RGF-KLMS) are discussed detailedly. Simulations demonstrate the validity of the theoretical analysis. Index Terms-Kernel least mean square, random feature, universal model, convergence analysis.
UR - https://www.scopus.com/pages/publications/85056504127
U2 - 10.1109/IJCNN.2018.8489498
DO - 10.1109/IJCNN.2018.8489498
M3 - 会议稿件
AN - SCOPUS:85056504127
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Joint Conference on Neural Networks, IJCNN 2018
Y2 - 8 July 2018 through 13 July 2018
ER -