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ETT
2002
142views Education» more  ETT 2002»
15 years 6 months ago
Adaptive state- dependent importance sampling simulation of markovian queueing networks
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
Pieter-Tjerk de Boer, Victor F. Nicola
TSMC
2008
177views more  TSMC 2008»
15 years 5 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
ISAMI
2010
15 years 4 months ago
Adaptive Experience Sampling: Addressing the Dynamic Nature of In-Situ User Studies
Experience sampling techniques can be used to study user experiences with products in a natural setting and over time. Nowadays, researchers can use selective sampling to link the ...
Martijn H. Vastenburg, Natalia Romero Herrera
ICIP
2002
IEEE
16 years 8 months ago
Optimal face reconstruction using training
In previous work [2] we considered the problem of image interpolation from an adaptive optimal recovery point of view. We showed how a training set S determines a quadratic signal...
D. Darian Muresan, Thomas W. Parks
WEA
2010
Springer
300views Algorithms» more  WEA 2010»
16 years 1 months ago
Using Bound Sets in Multiobjective Optimization: Application to the Biobjective Binary Knapsack Problem
This paper is devoted to a study of the impact of using bound sets in biobjective optimization. This notion, introduced by Villareal and Karwan [19], has been independently revisit...
Charles Delort, Olivier Spanjaard