Results 201 to 210 of about 6,879 (215)

An Attributed Graph Kernel from the Jensen-Shannon Divergence

2014 22nd International Conference on Pattern Recognition, 2014
Bai and Hancock recently proposed a novel information theoretic kernel for graphs, namely the Jensen-Shannon graph kernel. One drawback of their approach is that it cannot be applied to either attributed or labeled graphs. In this paper, we aim to define a new Jensen-Shannon diffusion kernel for attributed graphs.
Lu Bai 0001, Horst Bunke, Edwin R. Hancock   +2 more
openaire   +1 more source

Bounds for Jeffreys–Tsallis and Jensen–Shannon–Tsallis divergences

Physica A: Statistical Mechanics and its Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Popescu, P. G., Preda, V., Sluşanschi, E. I.   +2 more
openaire   +1 more source

A dissimilarity measure based on Jensen Shannon divergence measure

International Journal of General Systems, 2018
ABSTRACTThe need of suitable measures to find the distance between two probability distributions arises as they play an eminent role in problems based on discrimination and inferences.
Rajesh Joshi, Satish Kumar
openaire   +1 more source

A Graph Embedding Method Using the Jensen-Shannon Divergence

2013
Riesen and Bunke recently proposed a novel dissimilarity based approach for embedding graphs into a vector space. One drawback of their approach is the computational cost graph edit operations required to compute the dissimilarity for graphs. In this paper we explore whether the Jensen-Shannon divergence can be used as a means of computing a fast ...
Lu Bai 0001, Edwin R. Hancock, Lin Han
openaire   +1 more source

Anomaly detection in network traffic using Jensen-Shannon divergence

2012 IEEE International Conference on Communications (ICC), 2012
Anomaly detection in high speed networks is well known to be a challenging problem. It requires generally the analysis of a huge amount of data with high accuracy and low complexity. In this paper, we propose an anomaly detection mechanism against flooding attacks in high speed networks.
Osman Salem, Farid Naït-Abdesselam, Ahmed Mehaoua   +2 more
openaire   +1 more source

Quantum metrics based upon classical Jensen–Shannon divergence

Physica A: Statistical Mechanics and Its Applications, 2022
Tristan M Osan, Diego G Bussandri
exaly  

A novel domain adaptation theory with Jensen–Shannon divergence

Knowledge-Based Systems, 2022
Changjian Shui, Qi Chen 0015, Jun Wen 0001, Fan Zhou 0006, Christian Gagné 0001, Boyu Wang 0004   +5 more
openaire   +1 more source

Empirical survival Jensen-Shannon divergence as a goodness-of-Fit measure for maximum likelihood estimation and curve fitting

Communications in Statistics Part B: Simulation and Computation, 2021
Mark Levene, Aleksejus Kononovicius
exaly  

A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion

Engineering Applications of Artificial Intelligence, 2022
Fuyuan Xiao
exaly  

Model-Free Ultra-High-Dimensional Feature Screening for Multi-Classified Response Data Based on Weighted Jensen-Shannon Divergence

Open Journal of Statistics, 2023
Guangming Deng
exaly