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» Stochastic Linear Optimization under Bandit Feedback
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MP
2008
100views more  MP 2008»
13 years 7 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski
HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
14 years 1 months ago
Stochastic Model for Power Grid Dynamics
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
Marian Anghel, Kenneth A. Werley, Adilson E. Motte...
JSAC
2008
117views more  JSAC 2008»
13 years 7 months ago
A design framework for limited feedback MIMO systems with zero-forcing DFE
Abstract--We consider the design of multiple-input multipleoutput communication systems with a linear precoder at the transmitter, zero-forcing decision feedback equalization (ZFDF...
Michael Botros Shenouda, Timothy N. Davidson
CIBCB
2005
IEEE
14 years 1 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
TWC
2008
143views more  TWC 2008»
13 years 7 months ago
Power-efficient wireless OFDMA using limited-rate feedback
Emerging applications involving low-cost wireless sensor networks motivate well optimization of multi-user orthogonal frequency-division multiple access (OFDMA) in the power-limite...
Antonio G. Marqués, Georgios B. Giannakis, ...