The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks.
Rafael Ballester-RipollManuele LeonelliPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- sensitivity analysis
- computational framework
- bayesian networks
- computational complexity
- preprocessing
- cost function
- matching algorithm
- dynamic programming
- learning algorithm
- computationally efficient
- k means
- computational cost
- optimization algorithm
- detection algorithm
- computational model
- significant improvement
- convergence rate
- constrained optimization
- managerial insights
- worst case
- incomplete data
- genetic algorithm
- tensor voting