Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.
Charles SuttonAndrew McCallumKhashayar RohanimaneshPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- sequence data
- dynamic conditional random fields
- probabilistic model
- image segmentation
- conditional random fields
- graphical models
- sequence classification
- sequence analysis
- generative model
- bayesian inference
- bayesian networks
- biological sequences
- expectation maximization
- active learning
- unsupervised learning
- latent variables
- nucleotide sequences
- profile hidden markov models
- binding sites
- topic models
- conditional probabilities
- transfer learning
- text categorization
- prior knowledge