Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster.
Jesse GlassMohamed F. GhalwashMilan VukicevicZoran ObradovicPublished in: AAAI (2016)
Keyphrases
- conditional random fields
- structured prediction
- learning models
- structured domains
- learning process
- supervised learning
- learning algorithm
- prior knowledge
- parameter learning
- max margin learning
- semi markov
- undirected graphical models
- structured output
- markov models
- maximum entropy
- graphical models
- markov random field
- probabilistic model
- structured learning
- information extraction
- hidden markov models
- sequence labeling
- training data
- machine learning