Results 31 to 40 of about 6,879 (215)

Refined Young Inequality and Its Application to Divergences

open access: yesEntropy, 2021
We give bounds on the difference between the weighted arithmetic mean and the weighted geometric mean. These imply refined Young inequalities and the reverses of the Young inequality. We also studied some properties on the difference between the weighted
Shigeru Furuichi, Nicuşor Minculete
doaj   +1 more source

Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence [PDF]

open access: yes, 2023
The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the ...
Schultz, Simon R.   +2 more
core   +2 more sources

JENSEN–SHANNON DIVERGENCE AS A MEASURE OF THE DEGREE OF ENTANGLEMENT [PDF]

open access: yesInternational Journal of Quantum Information, 2008
The notion of distance in Hilbert space is relevant in many scenarios. In particular, "distances" between quantum states play a central role in quantum information theory. An appropriate measure of distance is the quantum Jensen Shannon divergence (QJSD) between quantum states.
Majtey, A. P.   +4 more
openaire   +3 more sources

Natural history of liver disease in a large international cohort of children with Alagille syndrome: Results from the GALA study

open access: yesHepatology, EarlyView., 2022
Natural history of liver disease in a large international cohort of children with Alagille syndrome: Results from the GALA study. Abstract Background and Aims Alagille syndrome (ALGS) is a multisystem disorder, characterized by cholestasis. Existing outcome data are largely derived from tertiary centers, and real‐world data are lacking.
Shannon M. Vandriel   +93 more
wiley   +1 more source

Jensen-Shannon Divergence for Non-Destructive Incipient Crack Detection and Estimation

open access: yesIEEE Access, 2020
Nowadays industrial process needs more and more accurate nondestructive procedures for material crack detection and diagnosis. Early detection in that cases are very challenging issues: more the cracks are incipient and higher is the difficulty for its ...
Xiaoxia Zhang   +2 more
doaj   +1 more source

Calculate the Jensen–Shannon divergence between dissolved organic matter samples

open access: yes, 2022
Using the Jensen–Shannon divergence to find dissimilarities between dissolved organic matter samples analyzed by high-resolution mass ...
Morimaru Kida   +2 more
core   +1 more source

Cancer biomarker discovery: the entropic hallmark. [PDF]

open access: yesPLoS ONE, 2010
BACKGROUND: It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high ...
Regina Berretta, Pablo Moscato
doaj   +1 more source

Jensen–Shannon divergence and non-linear quantum dynamics [PDF]

open access: yesPhysics Letters A, 2012
19 ...
Molladavoudi, Saeid   +2 more
openaire   +2 more sources

Universities and institutionalization of regional innovation policy in peripheral regions: Insights from the smart specialization in Portugal

open access: yesRegional Science Policy &Practice, EarlyView., 2023
Abstract Regional innovation policies are currently influenced by a series of territorial innovation models, with the regional innovation system (RIS) approach being one of the prominent examples. The rationale of smart specialization strategies (S3s) is deeply influenced by the RIS concept and highlights the importance of entrepreneurial discovery and
Hugo Pinto
wiley   +1 more source

Graph Complexity from the Jensen-Shannon Divergence [PDF]

open access: yes, 2012
In this paper we aim to characterize graphs in terms of structural complexities. Our idea is to decompose a graph into substructures of increasing layers, and then to measure the dissimilarity of these substructures using Jensen-Shannon divergence.
Lu Bai 0001, Edwin R. Hancock
openaire   +1 more source

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