High-Performance Training of Conditional Random Fields for Large-Scale Applications of Labeling Sequence Data.
Xuan Hieu PhanMinh Le NguyenYasushi InoguchiSusumu HoriguchiPublished in: IEICE Trans. Inf. Syst. (2007)
Keyphrases
- conditional random fields
- sequence data
- sequence classification
- crf model
- structured prediction
- image labeling
- supervised training
- semantic segmentation
- sequence labeling
- graphical models
- probabilistic model
- information extraction
- markov random field
- hidden markov models
- random fields
- error correcting output coding
- generative model
- higher order
- markov models
- semi markov
- web page prediction
- named entity recognition
- approximate inference
- profile hidden markov models
- maximum entropy
- training set
- sequential data
- multiclass classification
- supervised learning
- weighted sums
- active learning
- image segmentation
- machine learning
- semi supervised
- multi class
- markov networks
- segmentation method
- genome sequences