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   Articles with "kullback leibler" as a keyword



Kullback–Leibler and relative Fisher information as descriptors of locality

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recommendations! Published in 2018 at "International Journal of Quantum Chemistry"

DOI: 10.1002/qua.25557

Abstract: Kullback-Leibler and relative Fisher information functionals are applied in studying deviation from local density approximation. The reduced density gradient s and the local kinetic energy paramete ... read more here.

Keywords: fisher information; kullback leibler; relative fisher; leibler relative ... See more keywords

A Kullback–Leibler-Based IMM Information Filter for the Jump Markov System with Unknown Noise

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0735-y

Abstract: This paper is concerned with the state estimation of the jump Markov system with the unknown measurement noise. The proposed algorithm is derived under the framework of Interacting Multiple Model approach, and the recently reported… read more here.

Keywords: state; kullback leibler; information; jump markov ... See more keywords
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A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering

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recommendations! Published in 2020 at "Journal of Applied Genetics"

DOI: 10.1007/s13353-020-00543-x

Abstract: Information theory is a branch of mathematics that overlaps with communications, biology, and medical engineering. Entropy is a measure of uncertainty in the set of information. In this study, for each gene and its exons… read more here.

Keywords: gene; entropy; gene clustering; kullback leibler ... See more keywords

A comparison of Shannon, Kullback–Leibler and renormalized entropies within successive bifurcations

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recommendations! Published in 2019 at "Physica D: Nonlinear Phenomena"

DOI: 10.1016/j.physd.2018.11.002

Abstract: Abstract An issue in the context of self-organization is the existence of bifurcation processes that are often observed in dissipative dynamical systems. The first bifurcation occurs when a stable fixed point becomes unstable as the… read more here.

Keywords: shannon kullback; self organization; renormalized entropy; successive bifurcations ... See more keywords

Relative Resolution: An Analysis with the Kullback-Leibler Entropy.

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recommendations! Published in 2024 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.3c01052

Abstract: A novel type of a multiscale approach, called Relative Resolution (RelRes), can correctly retrieve the behavior of various nonpolar liquids while speeding up molecular simulations by almost an order of magnitude. In this approach in… read more here.

Keywords: relative resolution; system; kullback leibler; resolution ... See more keywords

Goodness-of-fit tests based on Verma Kullback–Leibler information

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1291970

Abstract: ABSTRACT In this article, a new consistent estimator of Veram’s entropy is introduced. We establish the entropy test based on the new information namely Verma Kullback–Leibler discrimination methodology. The results are used to introduce goodness-of-fit… read more here.

Keywords: kullback leibler; information; goodness fit; verma kullback ... See more keywords

An adjusted cumulative Kullback-Leibler information with application to test of exponentiality

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recommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2018.1529243

Abstract: Abstract In order to discriminate between two probability distributions extensions of Kullback–Leibler (KL) information have been proposed in the literature. In recent years, an extension called cumulative Kullback–Leibler (CKL) information is considered by authors which… read more here.

Keywords: exponentiality; kullback leibler; leibler information; test ... See more keywords

Bivariate Kullback–Leibler divergence

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recommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2025.2496687

Abstract: Abstract. Kullback and Leibler (1951) introduced Kullback–Leibler divergence to measure the disparity between two random variables. In this article, we introduce a bivariate extension of Kullback–Leibler divergence and study its various properties. Bivariate Kullback–Leibler divergence… read more here.

Keywords: kullback; bivariate kullback; leibler divergence; kullback leibler ... See more keywords

Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3034828

Abstract: Likelihood-based generative frameworks are receiving increasing attention in the deep learning community, mostly on account of their strong probabilistic foundation. Among them, Variational Autoencoders (VAEs) are reputed for their fast and tractable sampling and relatively… read more here.

Keywords: reconstruction; leibler divergence; variational autoencoders; reconstruction error ... See more keywords

An Iterative Nonlinear Filter Based on Posterior Distribution Approximation via Penalized Kullback–Leibler Divergence Minimization

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3169439

Abstract: This letter deals with Gaussian approximation of complicated posterior distribution involved in the Bayesian paradigm for nonlinear dynamic systems. A general formulation for Gaussian approximation is first provided by equivalently representing posterior distribution as a… read more here.

Keywords: penalized kullback; minimization; posterior distribution; approximation ... See more keywords

No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models

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recommendations! Published in 2023 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2022.3144583

Abstract: The primary goal of multimodal process monitoring is to detect abnormalities or occurrence of faults. However, the profound challenge in the multimodal monitoring problem is that it is difficult to quickly distinguish the fault occurrence… read more here.

Keywords: multimodal process; process monitoring; monitoring; model ... See more keywords