Cargando…
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid
The Jensen–Shannon divergence is a renown bounded symmetrization of the Kullback–Leibler divergence which does not require probability densities to have matching supports. In this paper, we introduce a vector-skew generalization of the scalar [Formula: see text]-Jensen–Bregman divergences and derive...
Autor principal: | Nielsen, Frank |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516653/ https://www.ncbi.nlm.nih.gov/pubmed/33285995 http://dx.doi.org/10.3390/e22020221 |
Ejemplares similares
-
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means
por: Nielsen, Frank
Publicado: (2019) -
Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence
por: Wei, Juhui, et al.
Publicado: (2021) -
Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence
por: Yan, Jinling, et al.
Publicado: (2021) -
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
por: Nielsen, Frank
Publicado: (2021) -
Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation
por: Cervigón, Raquel, et al.
Publicado: (2018)