Creating graphical models as representation of personalized skill profiles.
Alexander HollandMadjid FathiPublished in: SMC (2005)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- structure learning
- approximate inference
- probabilistic graphical models
- conditional dependencies
- map inference
- probabilistic inference
- bayesian networks
- conditional random fields
- user profiles
- markov networks
- statistical inference
- conditional independence
- efficient inference algorithms
- relational models
- graphical structure
- gaussian graphical models
- factor graphs
- exact inference
- loopy belief propagation
- undirected graphical models
- possibilistic networks
- belief networks
- partition function
- message passing
- probability distribution
- pairwise