Bayesian network learning algorithms using structural restrictions.
Luis M. de CamposFrancisco Javier García CastellanoPublished in: Int. J. Approx. Reason. (2007)
Keyphrases
- bayesian networks
- learning algorithm
- bayesian network structures
- machine learning algorithms
- learning bayesian networks
- graphical models
- structural information
- active learning
- machine learning
- bayesian network inference
- reinforcement learning
- training data
- probabilistic reasoning
- probabilistic inference
- structure learning
- conditional probabilities
- learning problems
- back propagation
- bayesian network classifiers
- training examples
- inference in bayesian networks
- structural learning
- supervised learning
- data sets
- learning tasks
- incomplete data
- conditional independence
- transfer learning
- parameter learning
- diagnostic reasoning
- neural network