Results 71 to 80 of about 6,826 (184)
Refining Jensen–Mercer inequality and its applications in probability and statistics
Journal of Inequalities and ApplicationsThis paper focuses on refining the Jensen–Mercer inequality and extending its applications to various important inequalities, including Hölder’s, Ky Fan, and AM-GM inequalities.
Rabia Bibi, Sajid Ali
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Frontiers in Sports and Active Living, 2020 Background: Stroke survivors are more sedentary than the general public. Previous research on stroke activity focuses on linear quantities. Non-linear measures, such as Jensen-Shannon Divergence and Lempel-Ziv Complexity, may help explain when and how ...
Sydney C. Andreasen +4 more
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Multimodal Generative Learning Utilizing Jensen-Shannon Divergence
, 2019 Learning from different data types is a long-standing goal in machine learning research, as multiple information sources co-occur when describing natural phenomena.
Vogt, Julia E. +3 more
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Whose decision is it anyway? Defendants’ prior experience shapes prosecutorial case dismissal
Criminology, EarlyView.Abstract Studies of early case processing outcomes in the United States typically assume that decisions are made unilaterally by the prosecutor, such that prior contact with the legal system is universally associated with harsher outcomes for defendants.
R. R. Dunlea, Miranda A. Galvin
wiley +1 more source
Divergence Measure of T-Spherical Fuzzy Sets and its Applications in Pattern Recognition
IEEE Access, 2020 In this manuscript, spherical fuzzy set (SFS) and T-spherical fuzzy set (TSFS) are discussed, which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PFS) and picture fuzzy set (PFS).
Mei-Qin Wu, Ting-You Chen, Jian-Ping Fan
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Active learning for probability estimation using Jensen-Shannon divergence [PDF]
, 2005 . Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classification accuracy.
Prem Melville +3 more
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Integrative Zoology, EarlyView.We performed 16S rDNA sequencing and metabolite profiling for three sympatric lizard species—Teratoscincus roborowskii, Phrynocephalus axillaris, and Eremias roborowskii—and compared their goblet cell and enzyme activities in the digestive tract. Our study suggests that the dietary niche may promote divergence or convergence of microbiota across host ...
Yi Yang, Ziyi Wang, Ruichen Wu
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Quantum Jensen-Shannon divergence between quantum ensembles
, 2012 In this paper, we first define quantum Jensen-Shannon divergence (QJSD) between quantum states in infinite-dimensional case and discuss its properties.
Wu, Zhaoqi, Zhang, Shifang, Zhu, Chuanxi
core
Jensen-Shannon divergence of PC and PE marginal acyl distributions.
, 2012 For each of sn1 (A) and sn2 (B) positions, the dissimilarity between PC and PE marginal acyl distributions was measured by Jensen-Shannon Divergence (JSD).
Michael A. Kiebish (161668) +6 more
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Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
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