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EOR
2007
117views more  EOR 2007»
15 years 6 months ago
Simultaneous perturbation stochastic approximation of nonsmooth functions
A simultaneous perturbation stochastic approximation (SPSA) method has been developed in this paper, using the operators of perturbation with the Lipschitz density function. This ...
Vaida Bartkute, Leonidas Sakalauskas
TWC
2008
150views more  TWC 2008»
15 years 6 months ago
Convex approximation techniques for joint multiuser downlink beamforming and admission control
Multiuser downlink beamforming under quality of service (QoS) constraints has attracted considerable interest in recent years, because it is particularly appealing from a network o...
Evaggelia Matskani, Nicholas D. Sidiropoulos, Zhi-...
EWRL
2008
15 years 8 months ago
New Error Bounds for Approximations from Projected Linear Equations
We consider linear fixed point equations and their approximations by projection on a low dimensional subspace. We derive new bounds on the approximation error of the solution, whi...
Huizhen Yu, Dimitri P. Bertsekas
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
15 years 7 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
ICASSP
2010
IEEE
15 years 6 months ago
A convex relaxation for approximate maximum-likelihood 2D source localization from range measurements
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
Pinar Oguz-Ekim, João Pedro Gomes, Jo&atild...