Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.
Jun ZhuNi LaoEric P. XingPublished in: KDD (2010)
Keyphrases
- structure learning
- markov random field
- parameter estimation
- feature selection
- markov networks
- graphical models
- belief propagation
- bayesian networks
- parameter learning
- bayesian network classifiers
- random fields
- graph cuts
- partition function
- higher order
- text categorization
- maximum a posteriori
- model selection
- pairwise
- image segmentation
- conditional independence
- energy function
- conditional random fields
- probabilistic graphical models
- approximate inference
- message passing
- undirected graphical models
- transfer learning
- feature space
- machine learning
- document classification
- first order logic
- maximum likelihood estimation
- sample size
- text classification
- least squares
- gene regulatory networks
- computer vision
- network structure
- bayesian inference
- exact inference
- social networks
- learning algorithm