A factor graph approach to automated design of Bayesian signal processing algorithms.
Marco CoxThijs van de LaarBert de VriesPublished in: Int. J. Approx. Reason. (2019)
Keyphrases
- automated design
- factor graphs
- graphical models
- message passing
- evolutionary design
- belief propagation
- approximate inference
- engineering design
- bayesian networks
- latent variables
- probabilistic inference
- security protocols
- exact inference
- bayesian inference
- maximum likelihood
- probabilistic graphical models
- markov random field
- mechanism design
- posterior probability
- evolutionary computation
- probabilistic model
- cost model
- machine learning
- markov networks
- random variables
- graph cuts
- evolutionary algorithm
- artificial intelligence