Entropy, 2021 We generalize the Jensen-Shannon divergence and the Jensen-Shannon diversity index by considering a variational definition with respect to a generic mean, thereby extending the notion of Sibson’s information radius.
Frank Nielsen
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Extrinsic Jensen-Shannon Divergence: Applications to Variable-Length Coding [PDF]
IEEE Transactions on Information Theory, 2015 This paper considers the problem of variable-length coding over a discrete memoryless channel (DMC) with noiseless feedback. The paper provides a stochastic control view of the problem whose solution is analyzed via a newly proposed symmetrized ...
Javidi, Tara +2 more
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JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases [PDF]
Frontiers in Genetics, 2020 Taking advantage of the high-throughput genotyping technology of Single Nucleotide Polymorphism (SNP), Genome-Wide Association Studies (GWASs) have been successfully implemented for defining the relative role of genes and the environment in disease risk,
Xuan Guo
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Some bounds for skewed α-Jensen-Shannon divergence
Results in Applied Mathematics, 2019 Based on the skewed Kullback-Leibler divergence introduced in the natural language processing, we derive the upper and lower bounds on the skewed version of the Jensen-Shannon divergence and investigate properties of them.
Takuya Yamano
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Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Aesthetic quality prediction is a challenging task in the computer vision community because of the complex interplay with semantic contents and photographic technologies.
Chen, Siyu +8 more
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Protein–ligand affinity prediction via Jensen-Shannon divergence of molecular dynamics simulation trajectories [PDF]
Biophysics and PhysicobiologyPredicting the binding affinity between proteins and ligands is a critical task in drug discovery. Although various computational methods have been proposed to estimate ligand target affinity, the method of Yasuda et al.
Kodai Igarashi, Masahito Ohue
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Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation [PDF]
Entropy, 2018 Atrial fibrillation (AF) is already the most commonly occurring arrhythmia. Catheter pulmonary vein ablation has emerged as a treatment that is able to make the arrhythmia disappear; nevertheless, recurrence to arrhythmia is very frequent. In this study,
Raquel Cervigón +4 more
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A Jensen-Shannon Divergence Kernel for Directed Graphs [PDF]
, 2016 Recently, kernel methods have been widely employed to solve machine learning problems such as classification and clustering. Although there are many existing graph kernel methods for comparing patterns represented by undirected graphs, the corresponding methods for directed structures are less developed.
AFT Martins +12 more
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Monoparametric family of metrics derived from classical Jensen–Shannon divergence [PDF]
Physica A: Statistical Mechanics and its Applications, 2018 8 pages, 4 ...
Osán, Tristán Martín +2 more
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Fractional Jensen–Shannon Analysis of the Scientific Output of Researchers in Fractional Calculus
Entropy, 2017 This paper analyses the citation profiles of researchers in fractional calculus. Different metrics are used to quantify the dissimilarities between the data, namely the Canberra distance, and the classical and the generalized (fractional) Jensen–Shannon ...
José A. Tenreiro Machado +1 more
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