Results 11 to 20 of about 255,317 (213)
The Kullback-Leibler Divergence Class in Decoding the Chest Sound Pattern [PDF]
Informatică economică, 2019 Kullback-Leibler Divergence Class or relative entropy is a special case of broader divergence. It represents a calculation of how one probability distribution diverges from another one, expected probability distribution. Kullback-Leibler divergence has a
Antonio CLIM, Razvan Daniel ZOTA
doaj +3 more sources
Kullback-Leibler Divergence and Mutual Information of Experiments in the Fuzzy Case
Axioms, 2017 The main aim of this contribution is to define the notions of Kullback-Leibler divergence and conditional mutual information in fuzzy probability spaces and to derive the basic properties of the suggested measures.
Dagmar Markechová
doaj +2 more sources
Divergence Measure of Belief Function and Its Application in Data Fusion
IEEE Access, 2019 Divergence measure is widely used in many applications. To efficiently deal with uncertainty in real applications, basic probability assignment (BPA) in Dempster-Shafer evidence theory, instead of probability distribution, is adopted.
Yong Deng
exaly +3 more sources
Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence [PDF]
Entropy, 2018 Cross entropy and Kullback⁻Leibler (K-L) divergence are fundamental quantities of information theory, and they are widely used in many fields. Since cross entropy is the negated logarithm of likelihood, minimizing cross entropy is equivalent to ...
Mateu Sbert +3 more
doaj +2 more sources
Kullback–Leibler Divergence and Mutual Information of Partitions in Product MV Algebras
Entropy, 2017 The purpose of the paper is to introduce, using the known results concerning the entropy in product MV algebras, the concepts of mutual information and Kullback–Leibler divergence for the case of product MV algebras and examine algebraic properties of ...
Dagmar Markechová, Beloslav Riečan
doaj +2 more sources
Entropy, 2022 By calculating the Kullback–Leibler divergence between two probability measures belonging to different exponential families dominated by the same measure, we obtain a formula that generalizes the ordinary Fenchel–Young divergence.
Frank Nielsen
doaj +1 more source
Statistical and Geometrical Properties of Regularized Kernel Kullback-Leibler Divergence
International audienceIn this paper, we study the statistical and geometrical properties of the Kullback-Leibler divergence with kernel covariance operators (KKL) introduced by Bach [2022].
Bach, Francis +2 more
core +10 more sources
Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
Revstat Statistical Journal, 2021 In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
doaj +1 more source
Statistical Estimation of the Kullback–Leibler Divergence
Mathematics, 2021 Asymptotic unbiasedness and L2-consistency are established, under mild conditions, for the estimates of the Kullback–Leibler divergence between two probability measures in Rd, absolutely continuous with respect to (w.r.t.) the Lebesgue measure.
Alexander Bulinski, Denis Dimitrov
doaj +1 more source
On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds
Entropy, 2020 We study the Voronoi diagrams of a finite set of Cauchy distributions and their dual complexes from the viewpoint of information geometry by considering the Fisher-Rao distance, the Kullback-Leibler divergence, the chi square divergence, and a flat ...
Frank Nielsen
doaj +1 more source