High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study.
Johan PensarYingying XuSanteri PuranenMaiju PesonenYoshiyuki KabashimaJukka CoranderPublished in: CoRR (2019)
Keyphrases
- structure learning
- markov networks
- graphical models
- pairwise
- markov logic networks
- high dimensional
- bayesian networks
- belief propagation
- markov random field
- probabilistic graphical models
- probabilistic model
- maximum likelihood
- network structure
- parameter learning
- conditional random fields
- parameter estimation
- least squares
- maximum margin
- first order logic
- probabilistic reasoning
- transfer learning
- image segmentation
- similarity measure