On a Method of Bounding the Rate of Convergence for Finite Markovian Queues.
Alexander I. ZeifmanKsenia KiselevaYacov SatinAnastasia KryukovaVictor KorolevPublished in: ICUMT (2018)
Keyphrases
- high precision
- pairwise
- dynamic programming
- experimental evaluation
- error rate
- preprocessing
- fully automatic
- synthetic data
- detection method
- classification accuracy
- computational cost
- significant improvement
- upper bound
- model selection
- clustering method
- multi objective
- missing data
- steady state
- classification method
- bayesian networks