Possibilistic conditional independence: A similarity-based measure and its application to causal network learning.
Ramón SangüesaJoan CabósUlises CortésPublished in: Int. J. Approx. Reason. (1998)
Keyphrases
- conditional independence
- bayesian network structure
- bayesian networks
- causal models
- learning bayesian networks
- bayes nets
- active learning
- random variables
- inductive learning
- markov blanket
- causal discovery
- structure and parameter learning
- possibility theory
- learning algorithm
- directed acyclic graph
- probability distribution
- statistical independence
- neural network