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103
Voted
WSC
2004
15 years 3 months ago
2004
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
101
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QUESTA
2006
15 years 2 months ago
2006
In this paper we demonstrate how tree-like processes can be used to analyze a general class of priority queues with three service classes, creating a new methodology to study prio...
112
Voted
WSC
2001
2001
Quantifying simulation output variability using confidence intervals and statistical process control
15 years 3 months ago
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
112
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DSN
2006
IEEE
15 years 8 months ago
2006
IEEE
This paper provides a technique, based on partially observable Markov decision processes (POMDPs), for building automatic recovery controllers to guide distributed system recovery...
131
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NIPS
2008
15 years 4 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...