Articles with "kernel risk" as a keyword



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Complex Kernel Risk-Sensitive Loss: Application to Robust Adaptive Filtering in Complex Domain

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2875141

Abstract: Recently, the maximum complex correntropy criterion (MCCC) algorithm has shown its superiority for adaptive filter in complex domain. Compared with the traditional mean square error (MSE) criterion-based algorithms, MCCC uses complex correntropy as similarity measure,… read more here.

Keywords: complex domain; risk sensitive; kernel risk; complex kernel ... See more keywords
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Low-Complexity Constrained Recursive Kernel Risk-Sensitive Loss Algorithm

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Published in 2022 at "Symmetry"

DOI: 10.3390/sym14050877

Abstract: The constrained recursive maximum correntropy criterion (CRMCC) combats the non-Gaussian noise effectively. However, the performance surface of maximum correntropy criterion (MCC) is highly non-convex, resulting in low accuracy. Inspired by the smooth kernel risk-sensitive loss… read more here.

Keywords: kernel risk; sensitive loss; risk sensitive; constrained recursive ... See more keywords