Results 61 to 70 of about 719,028 (211)
Hyperlink prediction via local random walks and Jensen-Shannon divergence [PDF]
Many real-world systems involving higher-order interactions can be modeled by hypergraphs, where vertices represent the systemic units and hyperedges describe the interactions among them.
Xu, Xin-Jian, Zhang, Li-Jie, Deng, Chong
core +1 more source
Correlations, Information Backflow, and Objectivity in a Class of Pure Dephasing Models
We critically examine the role that correlations established between a system and fragments of its environment play in characterising the ensuing dynamics.
Nina Megier +3 more
doaj +1 more source
ABSTRACT Increasing global emphasis on sustainability has positioned green entrepreneurship as a key mechanism for aligning business with environmental responsibility. Despite growing research, green entrepreneurship remains conceptually fragmented, with overlapping constructs and inconsistent definitions, which may have constrained theoretical and ...
Alexandra Elena Carst +1 more
wiley +1 more source
PCoA plots using the Jensen-Shannon divergence for RDP’s NBC.
PCoA plots using the Jensen-Shannon divergence for RDP’s NBC.
Saikat Chatterjee (817514) +8 more
core +1 more source
ncertain cross pseudo supervision for semisupervised semantic segmentation
Predictions based on deep learning algorithms are often blindly assumed to be accurate,and this disadvantage is more pronounced in semi-supervised learning.
LIU Meng-Jie, PU Yi-Fei, ZHANG Wei-Hua
doaj
Information Geometric Approach on Most Informative Boolean Function Conjecture
Let X n be a memoryless uniform Bernoulli source and Y n be the output of it through a binary symmetric channel. Courtade and Kumar conjectured that the Boolean function f : { 0 , 1 } n → { 0 , 1 } that maximizes the ...
Albert No
doaj +1 more source
ABSTRACT Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue.
Özcan Işık +3 more
wiley +1 more source
PCoA plots using the Jensen-Shannon divergence for ARK SEK.
PCoA plots using the Jensen-Shannon divergence for ARK SEK.
Saikat Chatterjee (817514) +8 more
core +1 more source
The Representation Jensen-Shannon Divergence [PDF]
Quantifying the difference between probability distributions is crucial in machine learning. However, estimating statistical divergences from empirical samples is challenging due to unknown underlying distributions.
Hoyos-Osorio, Jhoan K. +1 more
core +1 more source
Nonextensive Generalizations of the Jensen-Shannon Divergence
Convexity is a key concept in information theory, namely via the many implications of Jensen's inequality, such as the non-negativity of the Kullback-Leibler divergence (KLD). Jensen's inequality also underlies the concept of Jensen-Shannon divergence (JSD), which is a symmetrized and smoothed version of the KLD.
André F. T. Martins +2 more
openaire +3 more sources

