Compositional models and conditional independence in evidence theory.
Radim JirousekJirina VejnarováPublished in: Int. J. Approx. Reason. (2011)
Keyphrases
- conditional independence
- evidence theory
- bayesian networks
- graphical models
- conditional independencies
- probabilistic model
- causal independence
- causal models
- markov property
- genetic algorithm
- random variables
- directed acyclic graph
- structure and parameter learning
- neural network
- probability distribution
- pattern recognition
- machine learning