BNFinder: exact and efficient method for learning Bayesian networks
β Scribed by Wilczynski, B.; Dojer, N.
- Book ID
- 121774300
- Publisher
- Oxford University Press
- Year
- 2008
- Tongue
- English
- Weight
- 62 KB
- Volume
- 25
- Category
- Article
- ISSN
- 1367-4803
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper presents a new efficient method for uncertainty propagation in discrete Bayesian networks in symbolic, as opposed to numeric, form, when considering some of the probabilities of the Bayesian network as parameters. The algebraic structure of the conditional probabilities of any set of node
The problem of learning Bayesian networks from statistical data is described and reformulated as a discrete optimization problem. For a solution we employ the stochastic algorithm that is known as simulated annealing and that is based on the Markov Chain Monte Carlo approach. Numerical examples are