Composition of Conditional Random Fields for Transfer Learning.
Charles SuttonAndrew McCallumPublished in: HLT/EMNLP (2005)
Keyphrases
- conditional random fields
- transfer learning
- learning tasks
- probabilistic model
- hidden markov models
- knowledge transfer
- graphical models
- higher order
- sequence labeling
- crf model
- information extraction
- labeled data
- machine learning
- semi supervised learning
- active learning
- markov random field
- generative model
- pairwise
- reinforcement learning
- structure learning
- cross domain
- multi task learning
- collaborative filtering
- text categorization
- transfer knowledge
- text mining
- web page prediction
- machine learning algorithms
- markov networks
- semi supervised
- image processing
- learning algorithm
- text classification
- target domain
- supervised learning
- parameter learning
- knowledge representation
- data analysis