Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy.
Mathieu SerrurierHenri PradePublished in: SMPS (2014)
Keyphrases
- bayesian networks
- learning algorithm
- hidden variables
- learning process
- prior knowledge
- learning systems
- training data
- learning tasks
- information theoretic
- online learning
- mutual information
- supervised learning
- probabilistic model
- learning problems
- reinforcement learning
- inductive inference
- parameter learning
- complex domains
- bayesian network structure
- learning bayesian networks from data