Jensen-Shannon divergence, Fisher information, and Wootters' hypothesis
, 2004 We discuss different statistical distances in probability space, with emphasis on the Jensen-Shannon divergence, vis-a-vis {\it metrics} in Hilbert space and their relationship with Fisher's information measure. This study provides further reconfirmation of Wootters' hypothesis concerning the possibility that statistical fluctuations in the outcomes of
Casas, M. +3 more
openaire +2 more sources
A new method to measure the divergence in evidential sensor data fusion
International Journal of Distributed Sensor Networks, 2019 Evidence theory is widely used in real applications such as target recognition because of its efficiency in evidential sensor data fusing. However, counter-intuitive results may be obtained in the situation when evidence highly conflicts with each other.
Yutong Song, Yong Deng
doaj +1 more source
Identifying Ordinal Similarities at Different Temporal Scales
EntropyThis study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data.
Luciano Zunino +2 more
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Directed Network Comparison Using Motifs
EntropyAnalyzing and characterizing the differences between networks is a fundamental and challenging problem in network science. Most previous network comparison methods that rely on topological properties have been restricted to measuring differences between ...
Chenwei Xie +4 more
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Entropy Analysis of Soccer Dynamics
Entropy, 2019 This paper adopts the information and fractional calculus tools for studying the dynamics of a national soccer league. A soccer league season is treated as a complex system (CS) with a state observable at discrete time instants, that is, at the time of ...
António M. Lopes +1 more
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Individual Brain Morphological Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation for Autism Spectrum Disorder Identification. [PDF]
Front Neurosci, 2022 Yi T +6 more
europepmc +1 more source
IEEE Access, 2017 One of the most demanding skills for a mobile robot is to be intelligent enough to know its own location. The global localization problem consists of obtaining the robot's pose (position and orientation) in a known map if the initial location is unknown.
Fernando Martin +4 more
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A Skew Logistic Distribution for Modelling COVID-19 Waves and Its Evaluation Using the Empirical Survival Jensen-Shannon Divergence. [PDF]
Entropy (Basel), 2022 Levene M.
europepmc +1 more source
Studying Lexical Dynamics and Language Change via Generalized Entropies: The Problem of Sample Size
Entropy, 2019 Recently, it was demonstrated that generalized entropies of order α offer novel and important opportunities to quantify the similarity of symbol sequences where α is a free parameter.
Alexander Koplenig +2 more
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Correspondances compatibles avec les fichiers inverses pour la recherche d'information.
, 2014 National audienceCet article fait un retour sur l'un des éléments majeurs d'un système de recherche d'information : la correspondance basée sur des fichiers inverses car le passage d'une formule théorique à une implantation compatible avec des ...
Chevallet, Jean-Pierre, Mulhem, Philippe
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