Multi-Criterion Active Learning in Conditional Random Fields.
Christopher T. SymonsNagiza F. SamatovaRamya KrishnamurthyByung-Hoon ParkTarik UmarDavid ButtlerTerence CritchlowDavid HysomPublished in: ICTAI (2006)
Keyphrases
- conditional random fields
- active learning
- sequence labeling
- graphical models
- probabilistic model
- hidden markov models
- higher order
- information extraction
- random fields
- pairwise
- markov random field
- maximum entropy
- generative model
- crf model
- image labeling
- parameter learning
- structured prediction
- named entity recognition
- semi markov
- web page prediction
- error correcting output coding
- markov models
- semi supervised
- learning algorithm
- contextual features
- data mining
- structured learning
- protein fold recognition
- labeled data
- belief propagation
- unlabeled data
- learning process
- bayesian networks
- image segmentation
- image processing
- computer vision
- machine learning