Results 31 to 40 of about 7,842 (187)
Maps on positive definite matrices preserving Bregman and Jensen divergences [PDF]
, 2015 In this paper we determine those bijective maps of the set of all positive definite $n\times n$ complex matrices which preserve a given Bregman divergence corresponding to a differentiable convex function that satisfies certain conditions.
Molnár, Lajos +2 more
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Parametric Bayesian Estimation of Differential Entropy and Relative Entropy
Entropy, 2010 Given iid samples drawn from a distribution with known parametric form, we propose the minimization of expected Bregman divergence to form Bayesian estimates of differential entropy and relative entropy, and derive such estimators for the uniform ...
Maya Gupta, Santosh Srivastava
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Discounted dynamic optimization and Bregman divergence
Journal of Mathematical Economics, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Metrics defined by Bregman Divergences [PDF]
Communications in Mathematical Sciences, 2008 Bregman divergences are generalizations of the well known Kullback-Leibler divergence. They are based on convex functions and have recently received great attention. We present a class of “squared root metrics” based on Bregman divergences. They can be regarded as natural generalization of Euclidean distance.
Chen, P., Chen, Y., Rao, M.
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Bregman Voronoi Diagrams: Properties, Algorithms and Applications [PDF]
, 2007 The Voronoi diagram of a finite set of objects is a fundamental geometric structure that subdivides the embedding space into regions, each region consisting of the points that are closer to a given object than to the others.
A. Banerjee +33 more
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Divergence Family Contribution to Data Evaluation in Blockchain Via Alpha-EM and Log-EM Algorithms
IEEE Access, 2021 This study interrelates three adjacent topics in data evaluation. The first is the establishment of a relationship between Bregman divergence and probabilistic alpha-divergence.
Yasuo Matsuyama
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Bregman superquantiles. Estimation methods and applications
Dependence Modeling, 2016 In thiswork,we extend some parameters built on a probability distribution introduced before to the casewhere the proximity between real numbers is measured by using a Bregman divergence.
Labopin-Richard T. +3 more
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Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels [PDF]
, 2013 We investigate connections between information-theoretic and estimation-theoretic quantities in vector Poisson channel models. In particular, we generalize the gradient of mutual information with respect to key system parameters from the scalar to the ...
Carin, L, IEEE, Rodrigues, M, Wang, L
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Cost-sensitive learning based on Bregman divergences [PDF]
Machine Learning, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Santos-Rodríguez, Raúl +3 more
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Domain Adaptation via Bregman divergence minimization [PDF]
Scientia Iranica, 2021 In recent years, Fisher linear discriminant analysis (FLDA) based classifi- cation is one of the most successful approaches and has been shown effective performance in different classification tasks. However, when the learning data (source domain) have a different distribution against the testing data (tar- get domain), the FLDA-based models may not be ...
Mozhdeh Zandifar +2 more
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