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• W1479964991 abstract "Hidden Markov Models (HMMs) have been widely used in the liter- ature for modeling computer systems, for describing and predicting the loss and delay packet processes over the Internet and for solving network plan- ning/dimensioning problems. This paper proposes a system of differential equa- tions for calculating the distribution of the cumulative reward, when HMMs are used. Furthermore, we propose an iterative algorithm for obtaining an approx- imated solution for the differential equations. The overall technique for calcu- lating the measure of interest is numerically robust and has a significant smaller computational cost when compared with approaches found in literature." @default.
• W1479964991 created "2016-06-24" @default.
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• W1479964991 date "2007-01-01" @default.
• W1479964991 modified "2023-09-24" @default.
• W1479964991 title "Evaluating the Steady State Distribution of Cumulative Reward in Hidden Markov Models" @default.
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