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Some bounds for skewed α-Jensen-Shannon divergence
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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The metric property of the quantum Jensen-Shannon divergence [PDF]
In this short note, we prove that the square root of the quantum Jensen-Shannon divergence is a true metric on the cone of positive matrices, and hence in particular on the quantum state space.
Virosztek, Daniel ; https://orcid.org/ +1 more
openaire +6 more sources
The performance of a free-space optical (FSO) communications link suffers from the deleterious effects of weather conditions and atmospheric turbulence. In order to better estimate the reliability and availability of an FSO link, a suitable distribution ...
Antonios Lionis +2 more
exaly +3 more sources
Metric character of the quantum Jensen-Shannon divergence [PDF]
PACS number s : 03.67.
Lamberti, Pedro W. +4 more
core +5 more sources
The purpose of this study is to investigate the relationship between the Shannon entropy procedure and the Jensen–Shannon divergence (JSD) that are used as item selection criteria in cognitive diagnostic computerized adaptive testing (CD-CAT).
Wenyi Wang, Jian Xiong
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Metrization of powers of the Jensen-Shannon divergence [PDF]
v4: 10 pages; minor revision; to appear in ...
Okamura, Kazuki
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Entropy-Based Uncertainty-Aware Exploratory Factor Analysis for Ordinal Data: Application to Tramway Cultural Tourism Evaluation [PDF]
Background: Perception-based evaluation using Likert-scale survey data is widely applied in tourism and transport research, yet conventional point-valued encoding imposes artificial precision and overlooks ambiguity between adjacent ordinal categories ...
Jiaozi Pu, Yaxin Shi
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Constraining Variational Inference with Geometric Jensen-Shannon Divergence. [PDF]
We examine the problem of controlling divergences for latent space regularisation in variational autoencoders. Specifically, when aiming to reconstruct example $x\in\mathbb{R}^{m}$ via latent space $z\in\mathbb{R}^{n}$ ($n\leq m$), while balancing this against the need for generalisable latent representations.
Deasy J., Simidjievski N., Lio P.
openaire +5 more sources
In this work, we first consider the discrete version of Fisher information measure and then propose Jensen–Fisher information, to develop some associated results.
Omid Kharazmi +1 more
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Quantifying the Dissimilarity of Texts
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering.
Benjamin Shade, Eduardo G. Altmann
doaj +1 more source

