Jan 23, 2018 · This letter derives a new information theoretic relation between MEE and MCC, leading to better understanding of the theoretical differences, ...

The relation between algorithms based on entropy and correntropy has been investigated in [9] . In the literature, entropy and correntropy are sometimes ...

This letter derives a new information theoretic relation between MEE and MCC, leading to better understanding of the theoretical differences, and illustrates ...

Bibliographic details on A New Information Theoretic Relation Between Minimum Error Entropy and Maximum Correntropy.

Abstract Based on the analysis of the error backpropagation algorithm, we propose an innovative training criterion of depth neural network for maximum interval ...

This paper proposes a novel constrained maximum total correntropy (CMTC) algorithm using the stochastic gradient. •. The stability condition and mean square ...

[7] A. R. Heravi and G. A. Hodtani, "A new information theoretic relation between minimum error entropy and maximum correntropy," in IEEE. Signal Processing ...

Jun 21, 2021 · Heravi AR, Hodtani GA (2018) A new information theoretic relation between minimum error entropy and maximum correntropy. IEEE Signal ...

Abstract. Within the statistical learning framework, this paper studies the regression model associ- ated with the correntropy induced losses.

Apr 17, 2019 · In order to improve the robustness with respect to impulsive (or heavy-tailed) non-Gaussian noises, the maximum correntropy criterion (MCC) has ...