Parameter Estimation in Bayesian Networks Using Overlapping Swarm Intelligence.
Nathan FortierJohn W. SheppardShane StrasserPublished in: GECCO (2015)
Keyphrases
- swarm intelligence
- parameter estimation
- bayesian networks
- structure learning
- model selection
- maximum likelihood
- parameter learning
- computational intelligence
- ant colony optimization
- particle swarm optimization
- markov random field
- approximate inference
- ant colonies
- parameter estimation algorithm
- least squares
- random fields
- em algorithm
- evolutionary computation
- particle swarm optimization pso
- expectation maximization
- social behavior
- graphical models
- collective behavior
- conditional independence
- theoretical and empirical study
- probabilistic model
- machine learning
- parameter values
- conditional probabilities
- posterior probability
- artificial bee colony
- swarm optimization
- genetic algorithm ga
- higher order
- probability distribution
- parameter estimates
- knowledge base
- artificial intelligence
- neural network