The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks.
Rafael Ballester-RipollManuele LeonelliPublished in: CoRR (2023)
Keyphrases
- sensitivity analysis
- computational framework
- bayesian networks
- matching algorithm
- preprocessing
- dynamic programming
- detection algorithm
- computational complexity
- computational cost
- computationally efficient
- probabilistic model
- np hard
- neural network
- simulated annealing
- linear programming
- expectation maximization
- optimal solution
- objective function
- similarity measure
- learning algorithm
- significant improvement
- search space
- d objects
- worst case
- em algorithm
- decision trees