Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials.
Mark SchmidtKevin P. MurphyPublished in: AISTATS (2010)
Keyphrases
- structure learning
- log linear models
- pairwise
- conditional random fields
- graphical models
- high order
- higher order
- bayesian networks
- parameter learning
- markov networks
- belief propagation
- mixture model
- max margin
- conditional independence
- parameter estimation
- probabilistic model
- transfer learning
- markov random field
- semi supervised
- multi class
- network structure
- similarity measure
- sample size
- maximum likelihood
- feature selection
- approximate inference
- maximum likelihood estimation
- maximum margin
- structured prediction
- hidden markov models