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Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering.

, , , , , and . IEEE Trans. Signal Process., 65 (11): 2888-2901 (2017)

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Kernel adaptive filtering with maximum correntropy criterion., , and . IJCNN, page 2012-2017. IEEE, (2011)Trimmed affine projection algorithms., , , , , and . IJCNN, page 1923-1928. IEEE, (2014)Extended Kalman filter using a kernel recursive least squares observer., , and . IJCNN, page 1402-1408. IEEE, (2011)Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot., , , and . IJCNN, page 1968-1976. IEEE, (2016)Some Further Results on the Minimum Error Entropy Estimation., and . Entropy, 14 (5): 966-977 (2012)Robust Adaptive Algorithm for Smart Antenna System With α-Stable Noise., , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (11): 1783-1787 (2018)Quantized Minimum Error Entropy Criterion., , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (5): 1370-1380 (2019)Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (9): 4361-4372 (2022)Survival Information Potential: A New Criterion for Adaptive System Training., , and . IEEE Trans. Signal Process., 60 (3): 1184-1194 (2012)Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis., , , , and . IEEE Trans. Signal Process., (2020)