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