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» Robust optimization - methodology and applications
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NIPS
2003
15 years 8 months ago
Robustness in Markov Decision Problems with Uncertain Transition Matrices
Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
Arnab Nilim, Laurent El Ghaoui
WSC
1998
15 years 7 months ago
Risk Analysis of Robust System Design
Robustness has become a popular issue in engineering. For products, Taguchi suggests to adjust the design so that product performance is insensitive to the effects of uncontrolled...
E. G. A. Gaury, Jack P. C. Kleijnen
CVPR
2008
IEEE
15 years 6 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
Duc-Son Pham, Svetha Venkatesh
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
15 years 6 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
SMA
2010
ACM
192views Solid Modeling» more  SMA 2010»
15 years 1 months ago
Infinitesimally Robust estimation in general smoothly parametrized models
Abstract The aim of the paper is to give a coherent account of the robustness approach based on shrinking neighborhoods in the case of i.i.d. observations, and add some theoretical...
Matthias Kohl, Peter Ruckdeschel, Helmut Rieder