Conditional Random Fields for Transmembrane Helix Prediction.
Lior LukovSanjay ChawlaW. Bret ChurchPublished in: PAKDD (2005)
Keyphrases
- conditional random fields
- information extraction
- prediction accuracy
- graphical models
- probabilistic model
- random fields
- markov random field
- sequence labeling
- hidden markov models
- web page prediction
- higher order
- markov models
- crf model
- generative model
- maximum entropy
- semi markov
- named entity recognition
- superpixels
- image labeling
- undirected graphical models
- structured learning
- contextual features
- error correcting output coding
- approximate inference
- pairwise
- protein fold recognition
- image segmentation
- parameter learning
- markov networks
- text classification
- prior knowledge
- bayesian networks
- data mining