Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.

Beilun Wang Arshdeep Sekhon Yanjun Qi

Published in: CoRR (2017)

Keyphrases

graphical models
high dimensional
gaussian graphical models
random variables
graph structure

belief propagation
learning algorithm
reinforcement learning
undirected graphical models

probabilistic model
factor graphs
probabilistic inference
dimensionality reduction

conditional random fields
prior knowledge
directed acyclic
image segmentation