Low-Complexity Constrained Recursive Kernel Risk-Sensitive Loss Algorithm
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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