Improved sampling using loopy belief propagation for probabilistic model building genetic programming.
Hiroyuki SatoYoshihiko HasegawaDanushka BollegalaHitoshi IbaPublished in: Swarm Evol. Comput. (2015)
Keyphrases
- genetic programming
- loopy belief propagation
- markov chain monte carlo
- belief propagation
- markov random field
- approximate inference
- graphical models
- generative model
- graph cuts
- bayesian networks
- posterior probability
- probabilistic model
- evolutionary algorithm
- random sampling
- message passing
- conditional random fields
- monte carlo
- bayesian inference
- em algorithm
- free energy
- neural network
- markov chain
- prior knowledge
- image sequences
- genetic algorithm
- random variables
- belief networks
- distributed systems
- hidden markov models
- clustering algorithm
- exact inference
- machine learning