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WSC
1997
13 years 6 months ago
Searching for Important Factors: Sequential Bifurcation under Uncertainty
The problem of searching for important factors in a simulation model is considered when the simulation output is subject to stochastic variation. Bettonvil and Kleijnen (1996) giv...
Russell C. H. Cheng
INFORMS
2010
75views more  INFORMS 2010»
13 years 2 months ago
Improving the Efficiency and Efficacy of Controlled Sequential Bifurcation for Simulation Factor Screening
Controlled Sequential Bifurcation (CSB) is a factor-screening method for discrete-event simulations. It combines a multi-stage hypothesis testing procedure with the original Seque...
Hong Wan, Bruce E. Ankenman, Barry L. Nelson
AAAI
2000
13 years 6 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
PVLDB
2008
146views more  PVLDB 2008»
13 years 4 months ago
Efficient search for the top-k probable nearest neighbors in uncertain databases
Uncertainty pervades many domains in our lives. Current real-life applications, e.g., location tracking using GPS devices or cell phones, multimedia feature extraction, and sensor...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas
ATAL
2010
Springer
13 years 6 months ago
Heuristic search for identical payoff Bayesian games
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles St...