Results 141 to 150 of about 6,879 (215)

Framework for the Evaluation of Nap-Compatible Classroom Chairs

Buildings
Recent policy initiatives, such as the Ministry of Education of China’s guidelines on student sleep management, together with international empirical studies on daytime rest, highlight that appropriate opportunities for midday rest can support students ...
Wangyu Xu, Yushu Chen
doaj   +1 more source

Conceptualizing Surprise with the Jensen–Shannon distance: A Bayesian Information Theoretical Approach for the Social Sciences

Generally in the social sciences, a result is informally deemed ‘surprising’ if its associated p-value is sufficiently small. This implicit interpretation, however, is both conceptually and mathematically inappropriate, and such misuse of the p-value can
Emil Niclas Meyer-Hansen
core   +1 more source

The continuous G-DINA model and the Jensen-Shannon divergence

, 2016
Interest in diagnostic assessment has grown rapidly in recent years, as the public has increasingly looked to assessments to enhance educational outcomes.
de la Torre, J, Minchen, ND
core  

c ° 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. An Analysis of Edge Detection by Using the Jensen-Shannon Divergence

, 2014
. This work constitutes a theoretical study of the edge-detection method by means of the Jensen-Shannon divergence, as proposed by the authors. The overall aim is to establish formally the suitability of the procedure of edge detection in digital images,
Juan Francisco G ´omez-lopera
core  

Extending Jensen Shannon Divergence to Compare Multiple Corpora

, 2019
25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, 7 - 8 December 2017Investigating public discourse on social media platforms has proven a viable way to reflect the impacts of political issues.
Lu, Jinghui, Henchion, Maeve, MacNamee, Brian   +2 more
core  

Universal Super-Tensorization of Jensen-Shannon Divergence

For any discrete memoryless channel W with equal support condition, we prove that lim(1 − η_JSD(W^⊗n))^{1/n} = BC_min(W), where BC_min is the minimum Bhattacharyya coefficient between output distributions. This establishes that bounded divergences exhibit super-tensorization (η → 1) with rate governed by the Chernoff exponent.
openaire   +2 more sources

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Prompt-Induced Output Variability and Structured-Output Integrity in Local Open Large Language Models: A Multi-model In Silico Benchmark Using Synthetic Acute-Care Scenarios. [PDF]

Cureus
Harada Y.
europepmc   +1 more source

Quantum coupled mutation finder: predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming. [PDF]

BMC Bioinformatics, 2014
Gültas M, Düzgün G, Herzog S, Jäger SJ, Meckbach C, Wingender E, Waack S.   +6 more
europepmc   +1 more source