Gaussian Conditional Random Fields for Classification.
Andrija PetrovicMladen NikolicMilos JovanovicBoris DelibasicPublished in: CoRR (2019)
Keyphrases
- conditional random fields
- restricted boltzmann machine
- structured learning
- probabilistic model
- pattern classification
- structured output
- hidden markov models
- higher order
- graphical models
- random fields
- generative model
- structured prediction
- information extraction
- maximum entropy
- crf model
- semi markov
- web page prediction
- markov random field
- classification accuracy
- pairwise
- named entity recognition
- discriminative learning
- sequence labeling
- decision trees
- training set
- machine learning
- segmentation method
- class labels
- approximate inference
- markov networks
- em algorithm
- maximum likelihood
- text classification
- support vector machine
- feature vectors
- feature space
- support vector
- protein fold recognition