A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization.
Priya Krishnan SundararajanOle J. MengshoelPublished in: Probabilistic Graphical Models (2016)
Keyphrases
- expectation maximization
- bayesian networks
- genetic algorithm
- parameter learning
- em algorithm
- hidden variables
- learning algorithm
- learning process
- parameter estimation
- unsupervised learning
- generative model
- mixture model
- prior knowledge
- learning systems
- active learning
- conditional probability tables
- neural network
- genetic programming
- simulated annealing
- supervised learning
- parameter values
- parameter settings
- complex domains
- bayesian network classifiers
- bayesian network learning