Calculating blocking probabilities for loss networks based on probabilistic graphical models.
Jian NiSekhar TatikondaPublished in: ISIT (2005)
Keyphrases
- hidden markov models
- probabilistic graphical models
- conditional random fields
- graphical models
- markov networks
- imprecise probabilities
- exact inference
- belief networks
- first order logic
- latent variables
- belief propagation
- markov logic
- approximate inference
- network structure
- random variables
- prior knowledge
- neural network
- probability distribution
- parameter learning
- soft computing
- probabilistic model
- social networks
- hidden variables
- knowledge representation
- probability theory
- fuzzy measures
- bayesian networks