On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm.
Mohamed El YafraniMarcella Scoczynski Ribeiro MartinsMyriam R. B. S. DelgadoRicardo LüdersInkyung SungMarkus WagnerDiego OlivaPublished in: BRACIS (2019)
Keyphrases
- probabilistic graphical models
- optimisation algorithm
- graphical models
- optimisation problems
- ant colony
- markov networks
- bayesian networks
- latent variables
- first order logic
- parameter learning
- bayesian inference
- posterior distribution
- approximate inference
- posterior probability
- probabilistic inference
- maximum likelihood
- exact inference
- conditional random fields
- evolutionary computation
- belief propagation
- random variables
- ant colony algorithm
- evolutionary algorithm
- hidden variables
- generative model
- soft computing
- maximum margin
- structure learning
- ant colony optimization
- image segmentation