LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "kullback leibler" as a keyword



Photo by alterego_swiss from unsplash

Kullback–Leibler and relative Fisher information as descriptors of locality

Sign Up to like & get
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
Photo by alterego_swiss from unsplash

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

Sign Up to like & get
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
Photo from wikipedia

A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering

Sign Up to like & get
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
Photo by jareddrice from unsplash

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

Sign Up to like & get
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
Photo by bruno_nascimento from unsplash

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

Sign Up to like & get
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
Photo by alterego_swiss from unsplash

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

Sign Up to like & get
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
Photo by tengyart from unsplash

Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders

Sign Up to like & get
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
Photo by marcinjozwiak from unsplash

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

Sign Up to like & get
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
Photo from wikipedia

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

Sign Up to like & get
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
Photo by usgs from unsplash

MMSE Bounds for Additive Noise Channels Under Kullback–Leibler Divergence Constraints on the Input Distribution

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2019.2951221

Abstract: Upper and lower bounds on the minimum mean square error for additive noise channels are derived when the input distribution is constrained to be close to a Gaussian reference distribution in terms of the Kullback–Leibler… read more here.

Keywords: input distribution; noise channels; leibler divergence; additive noise ... See more keywords
Photo by tengyart from unsplash

Tomographic Image Reconstruction Based on Minimization of Symmetrized Kullback-Leibler Divergence

Sign Up to like & get
recommendations! Published in 2018 at "Mathematical Problems in Engineering"

DOI: 10.1155/2018/8973131

Abstract: Iterative reconstruction (IR) algorithms based on the principle of optimization are known for producing better reconstructed images in computed tomography. In this paper, we present an IR algorithm based on minimizing a symmetrized Kullback-Leibler divergence… read more here.

Keywords: reconstruction; kullback leibler; symmetrized kullback; divergence ... See more keywords