Sciweavers

22588 search results - page 136 / 4518
» On simulation model complexity
Sort
View
95
Voted
QEST
2006
IEEE
15 years 6 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
49
Voted
ICPR
2008
IEEE
16 years 2 months ago
Semi-supervised learning on large complex simulations
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
John Nicholas Korecki, Kevin W. Bowyer, Larry O. H...
65
Voted
WSC
2000
15 years 2 months ago
United States Marine Corps aerial refueling requirements analysis
The United States Marine Corps (USMC) currently operates a fleet of KC130 aerial refueling tanker aircraft. This paper uses queuing and simulation models to examine the USMC KC130...
William R. Gates, Mitchell J. McCarthy
119
Voted
SIGMETRICS
2008
ACM
15 years 22 days ago
Synchronized network emulation: matching prototypes with complex simulations
Network emulation, in which real systems interact with a network simulation, is a common evaluation method in computer networking research. Until now, the simulation in charge of ...
Elias Weingärtner, Florian Schmidt, Tobias He...
107
Voted
DEDS
2006
78views more  DEDS 2006»
15 years 26 days ago
The Equivalence between Ordinal Optimization in Deterministic Complex Problems and in Stochastic Simulation Problems
In the last decade ordinal optimization (OO) has been successfully applied in many stochastic simulation-based optimization problems (SP) and deterministic complex problems (DCP). ...
Yu-Chi Ho, Qing-Shan Jia, Qianchuan Zhao