On the Convergence of Sample Approximations for Stochastic Programming Problems with Probabilistic Criteria.
Sergey V. IvanovAndrey I. KibzunPublished in: Autom. Remote. Control. (2018)
Keyphrases
- stochastic programming problems
- probabilistic model
- selection criteria
- generative model
- context sensitive
- bayesian networks
- evaluation criteria
- sample size
- information retrieval
- information theoretic
- probabilistic approaches
- convergence analysis
- approximation methods
- faster convergence
- efficient computation
- multi criteria
- belief networks
- closed form
- particle swarm optimization
- data driven
- upper bound
- lower bound
- feature space
- image segmentation
- website
- artificial intelligence