Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms.
José M. PeñaJosé Antonio LozanoPedro LarrañagaPublished in: Probabilistic Graphical Models (2002)
Keyphrases
- estimation of distribution algorithms
- unsupervised learning
- bayesian networks
- feature subset selection
- evolutionary computation
- particle swarm optimization algorithm
- genetic programming
- combinatorial optimization
- multi objective
- combinatorial optimization problems
- evolutionary algorithm
- supervised learning
- genetic algorithm
- multi objective optimization
- continuous domains
- feature selection
- particle swarm optimization
- semi supervised
- conditional independence
- supervised classification
- structure learning
- dimensionality reduction
- probabilistic model
- expectation maximization
- object recognition
- machine learning
- random variables
- probability distribution
- graphical models
- optimization problems
- artificial intelligence
- hidden variables
- simulated annealing
- computational intelligence
- cost function
- reinforcement learning
- fitness function
- optimization algorithm
- model selection