Training Conditional Random Fields Using Virtual Evidence Boosting.
Lin LiaoTanzeem ChoudhuryDieter FoxHenry A. KautzPublished in: IJCAI (2007)
Keyphrases
- conditional random fields
- weighted sums
- structured prediction
- supervised training
- error correcting output coding
- graphical models
- crf model
- probabilistic model
- sequence labeling
- information extraction
- restricted boltzmann machine
- higher order
- hidden markov models
- random fields
- markov random field
- generative model
- named entity recognition
- web page prediction
- structured learning
- partially labeled data
- semi markov
- maximum entropy
- pairwise
- regression trees
- multiclass classification
- multi class learning
- parameter learning
- semi supervised
- supervised learning
- feature selection
- loss function
- undirected graphical models
- maximum likelihood
- decision trees
- markov networks
- training process
- data mining
- segmentation method