Learning Graphical Models With Hubs

28 February 2014

Papers citing "Learning Graphical Models With Hubs"

8 / 8 papers shown

Title
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm Chengjing Wang Peipei Tang Wen-Bin He Meixia Lin 33 0 0 17 Aug 2023
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks C. E. Graafland J. Gutiérrez 23 4 0 28 Jun 2021
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 19 13 0 25 Jun 2019
Model-based Clustering with Sparse Covariance Matrices Michael Fop T. B. Murphy Luca Scrucca 32 39 0 21 Nov 2017
A structural Markov property for decomposable graph laws that allows control of clique intersections P. Green Alun Thomas 27 7 0 01 May 2017
Learning from Pairwise Marginal Independencies J. Textor Alexander Idelberger Maciej Liskiewicz CML 18 10 0 02 Aug 2015
Learning Scale-Free Networks by Dynamic Node-Specific Degree Prior Qingming Tang S. Sun Jinbo Xu 32 1 0 07 Mar 2015