Gaussian conditional random fields for classification.
Andrija PetrovicMladen NikolicMilos JovanovicBoris DelibasicPublished in: Expert Syst. Appl. (2023)
Keyphrases
- conditional random fields
- structured output
- restricted boltzmann machine
- graphical models
- hidden markov models
- probabilistic model
- structured learning
- random fields
- classification accuracy
- markov random field
- information extraction
- generative model
- sequence labeling
- decision trees
- higher order
- crf model
- web page prediction
- feature space
- maximum entropy
- structured prediction
- support vector
- semi markov
- named entity recognition
- pattern classification
- segmentation method
- svm classifier
- machine learning
- support vector machine
- training set
- protein fold recognition
- error correcting output coding
- training samples
- text classification
- multi class
- prior knowledge
- computer vision