Variable Selection for Gaussian Graphical Models.

Jean Honorio Dimitris Samaras Irina Rish Guillermo A. Cecchi

Published in: AISTATS (2012)

Keyphrases

variable selection
gaussian graphical models
linear models
input variables
cross validation
graphical models
model selection
high dimensional
group lasso
high dimensional data
dimension reduction
feature selection
belief propagation
computer vision
number of input variables
unsupervised learning
least squares