A graphical model for protein secondary structure prediction.
Wei ChuZoubin GhahramaniDavid L. WildPublished in: ICML (2004)
Keyphrases
- graphical models
- protein secondary structure prediction
- protein secondary structure
- belief propagation
- random variables
- probabilistic model
- structure learning
- approximate inference
- conditional random fields
- probabilistic graphical models
- machine learning
- bayesian networks
- probabilistic inference
- markov networks
- map inference
- exact inference
- graph structure
- conditional independence
- message passing
- undirected graphical models
- belief networks
- probability distribution
- dynamic programming
- efficient inference algorithms
- nonparametric belief propagation