Results 81 to 90 of about 6,879 (215)

Trade‐offs between soil biodiversity and agricultural expansion: Evidence from litter decomposition dynamics in Madagascar

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Home‐Field Advantage (HFA) theory—positing that litter decomposes faster at its site of origin—allows us to disentangle the respective influences of litter quality, soil biota composition, and microclimate on shifts in litter decomposition following land use conversion.
Marie Sauvadet, Seydina Mohamad Ba, Malalatiana Razafindrakoto, Tantely Maminiaina Razafimbelo, Marie‐Paule Razafimanantsoa, Jean‐Marc Bouvet, Jean‐Michel Leong Pock Tsy, Jean Trap, Jean‐Pierre Bouillet   +8 more
wiley   +1 more source

Divergence informationnelle de Jensen-Shannon appliquée à la segmentation d’images

, 2017
Divergence informationnelle de Jensen-Shannon appliquée à la segmentation d ...
D. Rousseau, Chapeau-Blondeau, François, Belin, Etienne, Gillard, Nicolas, Rousseau, David, E. Belin, N. Gillard, F. Chapeau-Blondeau   +7 more
core   +1 more source

Refining Jensen–Mercer inequality and its applications in probability and statistics

Journal of Inequalities and Applications
This 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
doaj   +1 more source

Relationships of Linear and Non-linear Measurements of Post-stroke Walking Activity and Their Relationship to Weather

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, Tamara R. Wright, Jeremy R. Crenshaw, Darcy S. Reisman, Brian A. Knarr   +4 more
doaj   +1 more source

Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel [PDF]

, 2013
The quantum Jensen-Shannon divergence kernel [1] was recently introduced in the context of unattributed graphs where it was shown to outperform several commonly used alternatives. In this paper, we study the separability properties of this kernel and we propose a way to compute a low-dimensional kernel embedding where the separation of the different ...
Luca Rossi 0004, Andrea Torsello, Edwin R. Hancock   +2 more
openaire   +1 more source

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
doaj   +1 more source

Comparison of Three Sympatric Desert Lizards: Digestive Tract Structure, Digestive Enzyme Activities, Gut Microbiota, and Metabolites

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
wiley   +1 more source

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, Maytal Saar-tsechansky, Stewart M. Yang, Raymond Mooney   +3 more
core   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

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
wiley   +1 more source