Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant.
Teemu RuokolainenMiikka SilfverbergMikko KurimoKrister LindénPublished in: EACL (2014)
Keyphrases
- conditional random fields
- markov networks
- random fields
- probabilistic graphical models
- graphical models
- probabilistic model
- hidden markov models
- maximum margin
- markov random field
- higher order
- information extraction
- structured prediction
- pairwise
- parameter estimation
- generative model
- maximum entropy
- parameter learning
- density estimation
- max margin
- learning algorithm
- approximate inference
- belief networks
- least squares
- support vector
- computer vision