Kernel conditional random fields: representation and clique selection.
John D. LaffertyXiaojin ZhuYan LiuPublished in: ICML (2004)
Keyphrases
- conditional random fields
- graphical models
- efficient inference
- probabilistic model
- random fields
- information extraction
- named entity recognition
- sequence labeling
- higher order
- markov random field
- generative model
- crf model
- semi markov
- image labeling
- structured prediction
- kernel function
- maximum entropy
- superpixels
- approximate inference
- information retrieval
- structured learning
- protein fold recognition
- efficient inference algorithms
- web page prediction
- hidden markov models
- pairwise
- fully connected
- kernel methods
- natural language processing
- undirected graphical models
- training set
- support vector
- training data