Strategies to Select Examples for Active Learning with Conditional Random Fields.
Vincent ClaveauEwa KijakPublished in: CICLing (1) (2017)
Keyphrases
- conditional random fields
- active learning
- training examples
- active learning strategies
- probabilistic model
- hidden markov models
- graphical models
- random fields
- sequence labeling
- pairwise
- information extraction
- maximum entropy
- learning models
- higher order
- semi markov
- markov models
- named entity recognition
- structured prediction
- web page prediction
- structured learning
- generative model
- labeled examples
- crf model
- transfer learning
- machine learning
- image labeling
- markov random field
- supervised learning
- parameter learning
- feature space
- data mining
- semi supervised learning
- protein fold recognition
- learning algorithm
- image processing
- training data
- training set
- markov networks
- learning process
- prior knowledge
- segmentation method