A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models.
Brendan J. FreyNebojsa JojicPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2005)
Keyphrases
- probabilistic graphical models
- learning algorithm
- markov logic
- graphical models
- undirected graphical models
- markov logic networks
- parameter learning
- bayesian networks
- approximate inference
- probabilistic inference
- supervised learning
- exact inference
- information extraction
- prior knowledge
- belief propagation
- classification algorithm
- statistical learning
- computational intelligence
- active learning
- reinforcement learning