Learning tree-structured approximations for conditional random fields.
Alexei N. SkurikhinPublished in: AIPR (2014)
Keyphrases
- conditional random fields
- structured output
- structured learning
- structured domains
- structured prediction
- undirected graphical models
- parameter learning
- learning models
- learning process
- random fields
- learning tasks
- learning algorithm
- learning problems
- generative model
- graphical models
- response time
- regression trees
- probabilistic model
- hidden markov models
- max margin learning
- discriminative learning
- maximum entropy
- higher order