Structured Learning with Approximate Inference.
Alex KuleszaFernando PereiraPublished in: NIPS (2007)
Keyphrases
- structured learning
- approximate inference
- structured prediction
- conditional random fields
- graphical models
- probabilistic inference
- belief propagation
- parameter estimation
- gaussian process
- message passing
- bayesian networks
- hidden markov models
- latent variables
- information extraction
- parameter learning
- maximum margin
- markov random field
- generative model
- probabilistic model
- graph cuts
- markov networks
- higher order
- learning models
- pairwise
- machine learning
- random variables
- pattern classification
- bayesian framework
- neural network
- information retrieval