Introducing graphical models to analyze genetic programming dynamics.
Erik HembergConstantin BerzanKalyan VeeramachaneniUna-May O'ReillyPublished in: FOGA (2013)
Keyphrases
- graphical models
- genetic programming
- belief propagation
- random variables
- probabilistic model
- probabilistic inference
- probabilistic graphical models
- approximate inference
- bayesian networks
- map inference
- evolutionary algorithm
- conditional random fields
- graph structure
- markov networks
- statistical inference
- structure learning
- exact inference
- factor graphs
- conditional independence
- possibilistic networks
- belief networks
- efficient inference algorithms
- exponential family
- latent variables
- higher order
- relational databases