Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference.
Catherine G. EnrightMichael G. MaddenNiall MaddenPublished in: Int. J. Approx. Reason. (2013)
Keyphrases
- mathematical models
- automatic construction
- efficient inference
- bayesian networks
- probabilistic inference
- exact inference
- hidden variables
- junction tree
- approximate inference
- graphical models
- mathematical model
- markov networks
- experimental data
- complex systems
- probabilistic graphical models
- posterior probability
- conditional random fields
- conditional probabilities
- factor graphs
- structure learning
- influence diagrams
- random variables
- conditional independence
- markov random field
- fully connected
- probability distribution
- parameter learning
- belief networks
- artificial intelligence
- probabilistic model
- latent variables
- graph structure
- belief propagation
- human pose estimation
- computational model
- multi agent systems
- three dimensional