Results 301 to 310 of about 2,518,110 (330)
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Performance of Jensen Shannon Divergence in Incipient Fault Detection and Estimation

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
The diagnosis (Detection, Estimation and Isolation) of incipient faults, i.e. faults with severity variation
Xiaoxia Zhang, C. Delpha, D. Diallo
semanticscholar   +1 more source

Nonparametric Estimation of Conditional Information and Divergences

2018
In this paper we propose new nonparametric estimators for a family of conditional mutual information and divergences. Our estimators are easy to compute; they only use simple k nearest neighbor based statistics. We prove that the proposed conditional information and divergence estimators are consistent under certain conditions, and demonstrate their ...
Barnabás Póczos, Jeff G. Schneider
openaire   +2 more sources

Estimates for the set of diverging points

Reports on Mathematical Physics, 1989
Let \(F(x,y)=(f(x)+g(x),h(x))\) be a differentiable map from \(\mathbb{R}^ 2\) to \(\mathbb{R}^ 2\) and \((F^ n)^ \infty_{n=1}\) be the corresponding dynamical system. Here \(F^ n=F\circ F\circ \dots\circ F\) (\(n\) times). Suppose that the system is dissipative, i.e., \(\text{mes}_ 2F^ n(K)\to 0\) as \(n\to \infty\) for any compact \(K\subset\mathbb{R}
Sankat, K., Heinemann, V.
openaire   +1 more source

Minimax estimation with divergence loss function

Information Sciences, 1974
Abstract We propose a class of loss functions for parameter estimation obtained by considering the discrepancy between the probability distribution p.d. with the unknown parameter and the p.d. with the parameter replaced by the estimate, the discrepancy being measured by the divergence functional.
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Gene arrangement, phylogeny and divergence time estimation of mitogenomes in Thrips

Molecular Biology Reports, 2022
Avas Pakrashi   +4 more
semanticscholar   +1 more source

Divergence estimation based on deep neural networks and its use for language identification

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2016
Yosuke Kashiwagi   +3 more
semanticscholar   +1 more source

Estimating the Kullback–Leibler Divergence

2014
We now investigate how the KLD rate can be estimated from a single empirical stationary trajectory, obtained from a stochastic stationary process whose dynamics is unknown. We assume that the empirical stationary trajectory contains \(n\) data of one or several random variables denoted by the letter \(X\).
openaire   +1 more source

Steganographic applications of the nearest-neighbor approach to Kullback-Leibler divergence estimation

2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC), 2015
V. Korzhik, I. Fedyanin
semanticscholar   +1 more source

On the Minimum $\mathcal {K}$-Divergence Estimator

IEEE Transactions on Signal Processing, 2022
Yair Sorek, Koby Todros
openaire   +1 more source

Generalized EM Algorithms for Minimum Divergence Estimation

International Conference on Geometric Science of Information, 2015
Diaa Al Mohamad, M. Broniatowski
semanticscholar   +1 more source

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